Remote Data Science Jobs
Yesterday
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Cloud Architect |
cloud data science big data linux aws azure | Apr 09 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science. Dataiku is looking for an experienced Cloud Architect to join its Field Engineering Team to support the deployment of its Enterprise AI Platform, Dataiku Data Science Studio (DSS), to an ever growing customer base. As a Cloud Architect, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Enterprise Platforms. This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you. The position is open to be remote anywhere in the US, or at one of our offices (Denver, NYC). In this role you'll help the team:
You might be a good fit if you have:
Bonus points for any of these:
Benefits:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Last Week
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Senior Product Manager, Content Data |
senior manager product manager data science machine learning big data | Apr 08 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide. The product team is looking for a driven, innovative, and experienced Product Management leader. This is an exciting opportunity to make a big difference. Scribd is different from other subscription companies both because of the breadth and depth of our content library as well as the extent of our organic global user base. We have a unique opportunity to help our subscribers find and enjoy a wide variety of media through the use of both proven and cutting edge technology, bringing high-quality content at a fair price to readers around the world. The Senior Content Product Manager will have an opportunity to make a foundational impact on the product experience by shaping the various ways that our content is discovered and consumed. Our goal is to connect users to the most compelling content from our vast and growing library. (We have over 100 million user-generated documents alone!) To do this at scale and for an international user base is a big challenge. You Will:
You Have:
Bonus Points For:
Benefits, Perks and Wellbeing at Scribd • Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents • Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals • 401k plan through Fidelity, plus company matching with no vesting period • Diversity, Equity, & Inclusion hiring best practices • Stock Options - every employee is an owner in Scribd! • Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day • Referral bonuses • Professional development: generous annual budget for our employees to attend conferences, classes, and other events • Company-wide Diversity, Equity & Inclusion training • Learning & Development and Coaching programs • Monthly Wellness, Connectivity & Comfort Benefit • Concern mental health digital platform • Work-life balance flexibility • Employee Resource Groups that build community and support among employees • Company events + Scribdchats • Free subscription to Scribd + gift memberships for friends & family • Monthly inclusive multi-cultural celebrations & learning opportunities Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior Software Engineer |
postgresql redis python senior data science saas | Apr 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Prefect: Are you looking for an incredible opportunity to work with a high-growth SaaS company? Our workflow orchestration platform bridges the gap between data engineers and data scientists, allowing them to do what they do best. We are looking for enthusiastic new additions to our team who are excited by the question “what will you build?” Role Summary: As a Senior Software Engineer at Prefect, you will work on and lead projects critical to the success of the company. You will focus on scaling our API with expert knowledge of databases and in-memory datastore systems. These systems need to provide extremely low latency to support high throughput of requests that orchestrate events in real time. You will coordinate with internal stakeholders, including our CTO and CEO, on new features and help Prefect execute our company’s product roadmap. You will proactively identify opportunities for improvement, build consensus, track risks and dependencies and lead projects to completion with a positive attitude. You will be a mentor and provide leadership to other members of the engineering team. We expect our engineers to be product focused and enthusiastic to take on new challenges and drive our product and culture forward. What you’ll be doing (core responsibilities):
Qualifications (you must have):
About you (we’d like you to have):
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This Month
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Senior Director, Business Analytics |
senior executive embedded data science saas finance | Apr 01 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Auth0 is a unicorn that just closed a $120M Series F round of funding, with total capital raised to date of $330M and valuation of nearly $2B. We are growing rapidly and looking for exceptional new team members to add to our exceptional talent pool - and who will help take us to the next level of success. One team, one score. Our vision is to provide people with secure access to any application in one click or less. And our promise is to make identity work for everyone—whether you’re a developer looking to innovate, or a security professional looking to mitigate. We are looking for curious, excited, boundary-pushing team members. So, if you’re a big thinker who is nimble and adaptable, Auth0 may be an ideal place for you to shine. The Data and Analytics team at Auth0 delivers the tools and technologies that enable our business teams and customers to make data driven decisions. We make data work! The Auth0 Data and Analytics team is looking for a very experienced, quantitative, business savvy, articulate and creative Senior Director of Business Analytics to set up and lead a team of highly qualified Data Analysts. The team will be responsible for delivering analytic assets (reports, dashboards) as well as one-off analyses and insights to business partners across the organization. The team partners with the Data Warehouse, the Data Science team, the Enterprise Data organization and embedded analytics teams and monitors key business metrics, initiates and performs deep dives where required and alerts business to challenges and opportunities. The ideal candidate has to be an intellectually curious perfectionist who thrives on uncovering insights hidden in data, has a consultative mindset and is used to partner with teams across an organization. He/she needs to be an excellent story-teller, a motivating leader and easily be able to select and focus on high impact, complex data projects. The candidate will have extensive experience in managing customer expectations, delivering complex, cross departmental analytics projects on time, monitor data accuracy of the data, driving adoption and measuring impact to business. This is a full-time position that is suitable for work from home. Responsibilities:
Requirements:
Preferred Locations:
Auth0 safeguards more than 4.5 billion login transactions each month and its top priorities are availability and security. We like to think that we are helping make the internet safer. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles. Auth0 is an Equal Employment Opportunity employer. Auth0 conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or status as a Vietnam-era special disabled and other covered veteran status, or any other characteristic protected by law. Auth0 participates in E-Verify and will confirm work authorization for candidates residing in the United States.
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Business Data Analyst |
embedded data science | Apr 01 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Auth0 is a unicorn that just closed a $120M Series F round of funding, with total capital raised to date of $330M and valuation of nearly $2B. We are growing rapidly and looking for exceptional new team members to add to our exceptional talent pool - and who will help take us to the next level of success. One team, one score. Our vision is to provide people with secure access to any application in one click or less. And our promise is to make identity work for everyone—whether you’re a developer looking to innovate, or a security professional looking to mitigate. We are looking for curious, excited, boundary-pushing team members. So, if you’re a big thinker who is nimble and adaptable, Auth0 may be an ideal place for you to shine. The Data and Analytics team at Auth0 delivers the tools and technologies that enable our business teams and customers to make data driven decisions. We make data work! The Auth0 Data and Analytics team is looking for a very experienced, business savvy, articulate and creative Business Data Analyst to help deliver analytic assets (reports, dashboards) as well as one-off analyses, and insights to business partners across the organization. The analyst will also monitor key business metrics, initiate and perform deep dives where required and alert business to challenges and opportunities. As part of the Business Analytics team, the successful candidate will partner with the Data Warehouse, the Data Science team, the Enterprise Data organization and embedded analytics teams to enable business units to make data driven decisions. The ideal candidate has to be an intellectually curious perfectionist who thrives on uncovering insights hidden in data, has a consultative mindset and is used to partner with teams across an organization. He/she needs to be an excellent story-teller and easily be able to select and focus on high impact, complex data projects. The candidate will have extensive experience in managing customer expectations, delivering complex, cross departmental analytics projects on time, monitor data accuracy of the data, driving adoption and measuring impact to business. This is a full-time position that is suitable for work from home. Responsibilties:
Job requirements:
Preferred Locations:
Auth0 safeguards more than 4.5 billion login transactions each month and its top priorities are availability and security. We like to think that we are helping make the internet safer. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles. Auth0 is an Equal Employment Opportunity employer. Auth0 conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or status as a Vietnam-era special disabled and other covered veteran status, or any other characteristic protected by law. Auth0 participates in E-Verify and will confirm work authorization for candidates residing in the United States.
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Lead Researcher, Jira |
data science saas | Mar 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Do you live and breathe research, love working with people, and thrive on applying insights to influence product design and strategy? Atlassian is searching for a Lead Researcher to join our growing team in Sydney. You will join a talented, collaborative team that is helping Atlassian achieve its mission to unleash the potential of teams all over the world. You will have the opportunity to define and conduct research that not only informs our ultimate mission, but that also feeds the design, strategy and development of one of our newest products. We have more than 10M users all around the world—and teams (massive and small) depend on our software to do their work. Organizations like NASA, Twitter, and LinkedIn use Atlassian products everyday; our Research & Insights team is at the heart of helping uncover what makes these teams work well together. As a Lead Researcher at Atlassian, you will:
On day one, we expect you to have:
Preferred if you also have:
More about our team You'll be joining a smart and passionate team of mixed methods researchers, spread across the globe. We work together to continuously improve our craft as researchers and our ability to support Atlassian to build better experiences for our customers and users. We have a mix of foundational, product and survey research programs that allows us to both follow the users' journey wherever it may take us, as well as having deep impact at the product level. It's all about improving our users' experience no matter who or where it is. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Atlassian is committed to providing reasonable accommodations to all individuals participating in the application and interview process, and while performing job functions. Please note that you will have the opportunity to request accommodations at each stage of the assessment process. To request accommodations before scheduling an interview, please reach out to atlassian-accommodations@atlassian.com and someone will follow up shortly. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Lead Researcher, Experience Platform |
data science saas | Mar 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Do you live and breathe research, love working with people, and thrive on applying insights to influence product design and strategy? Atlassian is searching for a Lead Researcher to join our growing team in Sydney. Partnering with our Experience Platform team, your mission will be to empower customers to get their work done, no matter what product or platform they use. This will see you working across products and platforms to optimise the experience of our collaborative tools to make them better, together. We have more than 10M users all around the world—and teams (massive and small) depend on our software to do their work. Organizations like NASA, Twitter, and LinkedIn use Atlassian products everyday; our Research & Insights team is at the heart of helping uncover what makes these teams work well together. As a Lead Researcher at Atlassian, you will:
On day one, we expect you to have:
Preferred if you also have:
More about our team You'll be joining a smart and passionate team of mixed methods researchers, spread across the globe. We work together to continuously improve our craft as researchers and our ability to support Atlassian to build better experiences for our customers and users. We have a mix of foundational, product and survey research programs that allows us to both follow the users' journey wherever it may take us, as well as having deep impact at the product level. It's all about improving our users' experience no matter who or where it is. More about the opportunity Experience Platform is how we quickly bring new products to market that work well together, how we drive cross-product collaboration, and how we scale products to for enterprise. You'll work in a cross-functional team. Your work will impact our whole product suite, which some of the best companies in the world rely on daily. You'll work with a variety of disciplines across the business in a highly collaborative manner. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Atlassian is committed to providing reasonable accommodations to all individuals participating in the application and interview process, and while performing job functions. Please note that you will have the opportunity to request accommodations at each stage of the assessment process. To request accommodations before scheduling an interview, please reach out to atlassian-accommodations@atlassian.com and someone will follow up shortly. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Commercial Sales Operations Business Partner |
data science saas cloud ops finance | Mar 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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At Confluent, we’re creating a category that transforms how every company manages and streams data. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s Confluent in action—giving our customers instant access to massive amounts of real-time data, enabling them to thrive in an ever-changing digital world. As one of the fastest-growing enterprise companies in history, and with Fortune 100 customers across major industries, we have a tremendous opportunity in front of us. We also have experience on our side. Our leaders have taken companies of our size to major success before and include some of the original creators of Apache Kafka®. We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s unlimited potential. Chart your own path and take healthy risks with the backing and support of our #OneTeam culture. Be part of inclusive initiatives like Employee Resource Groups and development programs, and take advantage of benefits that support our diverse global teams. Grow as we grow—whether you’re just starting out or managing a large team, you’ll be amazed at the magnitude of your impact. The Commercial Sales Operations Business Partner will own Confluent’s sales processes and work closely with the leadership of the Commercial sales team to help manage the team's selling efforts. The Sales Ops Business Partner’s primary responsibilities will be to provide data and analytical support to manage and improve Confluent’s sales processes and cycle, as well as utilizing pipeline data to help report, analyze and forecast the company’s current quarter’s business. Confluent is a dynamic, fast-paced sales environment that requires excellent communication skills and the ability to multitask on tight deadlines. The ideal candidate will thrive in this environment, possess superior analytical skills and the ability to work well as part of a team. The Commercial Sales Operations Business Partner will:
Requirements:
Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
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Data ,Engineering Manager |
manager data science cloud finance aws | Mar 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Data is a big deal at Atlassian. We ingest billions events each month into our analytics platform and we have dozens of teams across the company depending on the platform to drive their decisions. The team is also responsible to build and manage Atlassian’s operational data store which is critical in helping make decisions and guiding their operations based on the data and services we provide. We are looking for a data engineering manager to join our newly formed and growing GTM & Commerce Data Engineering team which is part of the Data Engineering department. Come and join our efforts to further democratize data and build an exceptional data products for the company. In this role you will get to...
More about you...
It's great, but not required, if...
More about the team You’ll be joining a team with a brand new mission, expanding into a new office. There will be plenty of challenges and scope to grow. We work very closely with Commerce, Finance, Sales, Support, Marketing and Analytics teams. We value when people ask hard questions and challenge each other to constantly improve our work. We are independent but love highly collaborative team environments, so you'll get the opportunity to work with lots of other awesome people just like you. We're all about enabling teams to execute growth, customer retention and M&A strategies by providing the right data fabrics and tools. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Data Scientist, Customer Analytics |
senior python data science cloud | Mar 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Does the challenge of scaling a fast-growing company by empowering it with data, reporting and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will help develop quantitative view of customer health at scale. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit! In this role, you will leverage data & analytics to shape Atlassian's understanding of how our customers use our services. You will specifically partner closely with the Enterprise Cloud team at Atlassian. The Enterprise Cloud team is transforming how big companies purchase, deploy and use the Atlassian product line. This team delivers new products and services designed to serve the needs of large companies using Atlassian products and services every day. These products are focused on high-availability, security and management of Enterprise customers. You'll be the key partner to our product and go-to-market leaders, helping them gain deeper insight in to our business and use that insight to make great decisions. You will drive cross functional data science projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, build out ETL pipelines and present key insights to stakeholders On the first day, we'll expect you to have
It's great, but not required, if you have
More about our team The Customer Analytics team at Atlassian is tasked to drive insights about our customers throughout their lifecycle with Atlassian. From customer health to product performance health, understanding movements of our customer across platforms, utilization of our products; we empower our leaders with data and insights that they can use to make impactful decision. Our team partners very closely with other analytics team within Atlassian to maintain a high bar of delivering meaningful insights, and we love to have fun along the way. Come join us, to provide outstanding product and customer experience powered by analytics. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Intelligence Data Analyst |
python data science crypto | Mar 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Kraken Kraken is changing the world. Join the revolution! Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we are growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. In our first decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1600 today and we have no intention of slowing down. About the Role The Strategic Intelligence team works cross-functionally, focusing on competitive intelligence and performance benchmarking within the competitive landscape. As an Intelligence Data Analyst, you will be responsible for assisting various teams with business and industry-related questions. Successful candidates will answer these broad, sometimes ambiguous questions by utilizing a variety of data sources available to the team. Additionally, this role will serve as a data consultant, helping various stakeholders understand what is possible from a data perspective and how to frame questions that can then be answered with existing data resources. You will develop your own perspectives about various trends within the market and within adjacent markets to inform areas of additional research. Lastly, you will be responsible for building and maintaining a variety of regular reporting dashboards and reports. You should be an ambitious and curious individual who is excited by the challenge of conducting research in a highly technical, yet rapidly developing industry. You will be expected to consume and analyze large amounts of data, including unstructured alternative data sources. You will also need to maintain a high degree of attention to detail with every project, as data integrity is critical for decision-making. Experience with SQL and Python, or similar languages are a must. Intellectual curiosity and a desire to learn everything cryptocurrency are a requirement for this role. Your mission, should you choose to accept it, will be to bridge the gap between technical data engineers and business leaders, with both written and verbal communication. This is the most challenging aspect of this role. Responsibilities
Requirements
Nice to Haves
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives. Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of. Learn more about us
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Senior Software Engineer Front End - Paris |
senior frontend java javascript data science big data | Mar 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. At Dataiku, we believe that engaging and user-friendly interfaces are the difference between good and great software. We are looking for an experienced front-end developer to add new exciting features to Dataiku DSS, and turn it into an even better product for our users. Dataiku DSS brings together big data and AI technologies into a unique and easy-to-use platform. It allows data scientists to process data with SQL databases, Spark, and Kubernetes with either user-friendly interfaces or code. The same platform also allows business analysts to create powerful machine or deep learning models with just a few clicks. What we do We design and code experiences that resonate with our growing customer base. We empower non-technical users with user-friendly and well-thought tools to let them quickly and efficiently visualize, analyze, or process their data. Our current technical stack is based on Javascript, Angular, AngularJS, and D3.js (we only support the latest versions of Chrome and Firefox!). The backend part is built on top of Java/Spring and Python. What you will do With your top-tier teammates from the engineering team and the help of the UX team, you will: -Implement new features with the best user experience possible -Build the components that allow our users to create and display charts, dashboards and datagrid in a scalable way. -Work closely with product managers and UX designers to brainstorm on new features and iteratively refine solutions. -Shape a safe place to work where all ideas and suggestions are welcome and taken into account, and where we all know everyone does their best. -Define and enforce guidelines to ensure that our users get the same experience across the whole product, and that all developers share common practices -Set the example: write high-quality code, as your teammates do! You are the ideal recruit if:
Hiring process
Dataiku’s culture is right for you if
If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy. To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Data Scientist |
senior python data science machine learning docker aws | Mar 25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Auth0 is a unicorn that just closed a $120M Series F round of funding, with total capital raised to date of $330M and valuation of nearly $2B. We are growing rapidly and looking for exceptional new team members to add to our exceptional talent pool - and who will help take us to the next level of success. One team, one score. Our vision is to provide people with secure access to any application in one click or less. And our promise is to make identity work for everyone—whether you’re a developer looking to innovate, or a security professional looking to mitigate. We are looking for curious, excited, boundary-pushing team members. So, if you’re a big thinker who is nimble and adaptable, Auth0 may be an ideal place for you to shine. We are growing rapidly and looking for exceptional new team members to add to our teams and will help take us to the next level. One team, one score. We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you’re passionate, practice radical transparency to build trust and respect, and thrive when you’re collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N. As a Senior Data Scientist you will help build, scale and maintain customer- and internal-facing data science products to drive impact across Auth0’s many business functions. The ideal candidate will have a deep technical understanding across the entire machine learning stack, hands-on experience in building models to generate valuable insights, and a track record of promoting a data-driven culture across organizations. You will feel equally at home working closely with product managers and engineers to implement and communicate complex statistical models. You will present your models to business partners in their language, measuring success in business KPIs. You will not hesitate to wrangle data, understand the business objectives and deliver production-level code that generates sustained business impact. You should be passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source Data Science technologies. You get bonus points for a proven history of research, and should strive toward developing publication-worthy work here at Auth0. Responsibilities:
Skills & Abilities:
Preferred Locations:
Auth0 safeguards more than 4.5 billion login transactions each month and its top priorities are availability and security. We like to think that we are helping make the internet safer. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles. Auth0 is an Equal Employment Opportunity employer. Auth0 conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or status as a Vietnam-era special disabled and other covered veteran status, or any other characteristic protected by law. Auth0 participates in E-Verify and will confirm work authorization for candidates residing in the United States.
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Senior Data Analyst, People Analytics |
senior python data science machine learning testing api | Mar 24 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Kraken Kraken is changing the world. Join the revolution! Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we’re growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. In less than a decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1200 today and we have no intention of slowing down. About the role This is a fully remote role, we will consider applicants based in North America, South America and Europe We are looking for Data Analysts who will play a key role in driving decision making in improving Krakenite experience at Kraken. You will transform large datasets from complex systems, generate actionable insights and share the results with stakeholders at all levels of the company. You will partner and lead projects with Krakenite Experience (KX), product management, engineering, client engagement, finance and other enterprise level teams. You are a self-starter, results driven and passionate to drive success of products at Kraken using the power of data analytics. As the Senior Data Analyst, you will add strategic value to Kraken by ensuring that we have actionable data at our fingertips in a clean, easy to understand manner. You will have top level support to go where the data takes you and build, from the ground up, a highly analytical approach to the Krakenite experience! If you are an experienced data detective who is passionate about creating world class data-driven people focused programs at a rapidly growing organization, apply today! Responsibilities
Requirements
Nice to have
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives. Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of. Learn more about us
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Senior Software Engineer |
senior frontend data science machine learning docker finance | Mar 22 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We will set you up with all the necessary tools to perform the job from your home office. Earnest empowers people with the financial capital they need to live better lives. We're an accomplished team of technology, finance, and design geeks who believe consumer lending can be radically improved and are doing something about it. We are disrupting the trillion dollar student loan industry by redefining what it means to be creditworthy. We created a company that combines data science, streamlined design, and technology to: Build products that simplify the lending process Personalize loans to suit the needs of our customers Engage with our customers through more human experiences Our culture is one that values transparency and blameless problem solving. Earnest has a strong track record of employee growth and career progression. Earnies are empathetic, product-focused, proactive, and curious. As a Senior Front End Software Engineer at Earnest you’ll build the software that is changing consumer lending, automating the loan approval process and orchestrating the transfer of billions of dollars. In addition to the $10+ billion in loans actively serviced, we build tools to maximize Earnest's growth while providing the best possible client experience. Our focus is on building a modern platform that allows us to move faster over time. This means a willingness to rethink domains from first principles and enjoy collaborating across all teams. On the server-side, we use Node.js. On our client-side we use React/Redux for building new things and Angular for everything else. We deploy services in Docker and Kubernetes on AWS. We integrate with other internal microservices (written in Node.js and Scala) and store the bulk of our data in Postgres and Amazon S3. Potential Projects: Integrate data science and machine learning models to automate loan decisions Integrate against third-party APIs to analyze additional data Launch new product lines and other lines of credit Integration with strategic partners Accelerate funding of loans Ideal background and expertise: 5+ years of professional development experience Experience with server-side concepts, such as microservices, database, caching, performance, monitoring and scalability Extensive experience with Node.js preferred Professional experience in React/Redux desirable Work experience with databases such as PostgresSQL Domain experience developing software for Fintech, Banking, or related Consumer Financial Services companies is a plus Earnest Perks & Benefits: Health, Dental, & Vision benefits plus savings plans Employee Stock Purchase Plan 401(k) plan to help you to save for retirement plus a company match Tuition reimbursement program $1000 travel perk on each Earnie-versary to anywhere in the world Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, genetics, gender identity or expression, or veteran status. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
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Lead Software Engineer |
full stack javascript php data science docker frontend | Mar 22 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We will set you up with all the necessary tools to perform the job from your home office. Earnest empowers people with the financial capital to live better lives We're an accomplished team of design, math, finance and technology geeks who believe consumer lending can be radically improved and are doing something about it. We created a company that combines data science, streamlined design, and technology to: Build products that simplify the lending process, Provide them to more people, and Engage with our customers through more human experiences. As a Lead Software Engineer at Earnest, you will report to the Engineering Manager of the Growth team, provide technical direction, and build the software that is revolutionizing consumer lending, automating the loan approval process and orchestrating the transfer of billions of dollars. In addition to the $10+ billion in loans serviced, we build tools to maximize Earnest's growth while providing the best possible client experience. Our focus is on building a modern platform that allows us to move faster over time. This means a willingness to rethink domains from first principles and an ability to collaborate well across technical and non-technical teams. At Earnest, we use Node.js, PHP, and TypeScript on the server-side. On the front-end we use React/Redux for building new things and vanilla JS depending on the use case. We deploy services in Docker and Kubernetes on AWS. We integrate with other internal microservices (written in Node.js and Scala) and store the bulk of our data in Postgres and Amazon S3. What you'll do: Drive top of funnel growth through product improvement, marketing, and partnerships. Participate in product discovery and translate growth plans into modern, scalable architecture. Give voice to and be accountable for team-oriented business and technical outcomes. Continually up-level a product development team through mentoring, establishing best practices, and setting a high bar for technical excellence. Improve our ability to onboard new partners and productize our APIs. Launch new mission-driven features, such as interactive financial education tools. aimed at simplifying and responsibly leading our customers through their student loan choices. Work with Product Managers and stakeholders, such as marketing, on priorities for the team. Ideal background and expertise: 6+ years of professional development experience Experience with server-side concepts, e.g. microservices, database, caching, performance, monitoring, and scalability Experience with modern Node.js or PHP Experience with CI/CD and cloud-based application architecture Professional experience with frontend JavaScript, including vanilla JS and frameworks such as React Relevant data modeling experience and integration with databases such as PostgresSQL Experience working in Fintech, Banking, or related Consumer Financial Services companies is a plus Earnest Perks & Benefits: Health, Dental, & Vision benefits plus savings plans Employee Stock Purchase Plan 401(k) plan to help you save for retirement plus a company match Tuition reimbursement program $1000 Travel perk on each Earnie-versary to anywhere in the world and 25 days of annual PTO Great culture with an awesome team Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, genetics, gender identity or expression, or veteran status. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
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Senior Data Science Manager, Targeting & Optimization |
data science senior manager testing ops | Mar 18 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Atlassian is looking to hire a Senior Manager with strong technical and leadership skills to lead our Traits and Audience Building team. Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a best-in-class product with nuanced analysis, meaningful insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role could be a great fit! In this role, you'll get too
On the first day, we'll expect you to have
It's great, but not required, if you have
More about our team Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to doing things differently. We're able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Senior Anaylst, Product |
senior python data science healthcare | Mar 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Loom: Loom is on a mission to empower everyone at work to communicate more effectively, wherever they are. We are already trusted by over 9M users across 120k+ companies. Our customers are global and use Loom at work at world-class companies including HubSpot, Square, Uber, GrubHub, and LinkedIn. Founded in 2015, Loom has raised $73 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, the Slack Fund, and the founders of Instagram, Figma, and Front. The Role: We’re looking to add a Senior Analyst to our growing Data team to help us measure the impact of product features and experiments, build dashboards to monitor product health and derive user behavior insights that inform product development roadmap and strategy to unlock the next stage of Loom’s growth. We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from designing and evaluating A/B tests, creating dashboards, crafting complex database queries and ETL pipelines, and ad-hoc analysis. The ideal candidate will be data-driven, intellectually curious, and a clear communicator. Your Responsibilities:
What We're Looking For:
Perks at Loom: * Competitive compensation and equity package * 99% company paid medical, dental, and vision coverage for employees and dependents (for US employees) * Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA) * Healthcare reimbursement (for International employees) * Life, AD&D, Short and Long Term Disability Insurance * 401(k) with 4% company matching * Professional development reimbursement * Mental health and wellness reimbursement * Gym reimbursement * Unlimited PTO * Paid parental leave * Remote work opportunities * Home office & technology reimbursement Loom = Equal Opportunity Employer: We are actively seeking to create a diverse work environment because teams are stronger with different perspectives and experiences. We value a diverse workplace and encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Loom are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
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Senior Data Engineer |
senior data science testing | Mar 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Imperfect Imperfect Foods was founded in 2015 with a mission to reduce food waste and build a better food system for everyone. We offer imperfect (yet delicious) produce, affordable pantry items, and quality meat and dairy. We deliver them conveniently to our customers’ doorsteps and pride ourselves on offering up to a 30% discount compared to grocery store prices. Our customers can get the healthy, seasonal produce they want alongside the grocery staples they rely on, without having to compromise their budget or values. We’re proving that doing the right thing for the planet doesn’t have to cost more, and that shopping for quality ingredients can support the people and resources that it takes to grow our favorite foods. We're headquartered in San Francisco with operations all over the country. Check our website to see if there is an Imperfect near you! We're looking for folks who are positive, motivated, and ready to change the world. If that sounds like you, drop us a line! About the Role: Imperfect is looking for an experienced Data Engineer to join our Business Intelligence team. Primary responsibilities will include the development, maintenance, and operational stability of scalable, resilient data pipelines and infrastructure. You’ll design and optimize data flows to be consumed by distributed systems, reporting, analytics, and machine learning. You'll architect solutions that enable robust and scalable data access and analysis, as our data volume and needs continue to grow at a rapid pace. You’ll develop sophisticated, accurate, and elegantly designed data models and support complex analyses. This role will involve taking business and technical requirements from concept and development through to the production environment. You’ll be enabling our fast-growing company to make better decisions, helping to deliver an ideal customer experience, and fighting food waste within our food system. Responsibilities:
Skills & Qualifications:
About You:
Details of the Position:
Physical Requirements:
Individuals seeking employment at Imperfect Foods are considered without regard to race, color, religion, national origin, age, gender, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. U.S. E-Verify Notice: Imperfect Foods participates in E-Verify in the United States. Imperfect will provide the U.S. Social Security Administration (SSA) and, if necessary, the U.S. Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. How we are protecting employees from COVID-19 At Imperfect Foods, employee health and safety is our top priority. We have implemented processes and precautions to prevent the spread of COVID-19 in our facilities. We provide gloves, masks, and hand sanitizer to all essential employees who must report to work. Before entering our warehouse, employees have their temperatures checked. In addition, we take great care to ensure frequently touched surfaces are sanitized throughout the day and all warehouses are fully sanitized weekly. We have also implemented an Emergency Sick Leave policy providing full-time and part-time employees 2 additional weeks of paid time off and up to 26 weeks paid leave if they have a confirmed case of COVID-19.
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Data Science & ML Engineering Manager |
data science manager engineering manager cs embedded machine learning | Mar 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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At Density, we build the infrastructure necessary to measure how people use space. The result of distributing this platform is lower emissions, less waste, better access, safer buildings, and better designed cities. It is a long term pursuit and one we could use your help achieving. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class. Importance of Data Science & ML at Density At its core, Density boils down to its real-time people counting algorithm. We are only as good as our data and our engineers. Density’s Data Science team is uniquely challenged with accurately counting people using a variety of sensors that focus on anonymity at the source. If you get excited about using cutting-edge lasers, radar, and lidar tech and building advanced machine learning algorithms that process billions of data points, you should join our team. As Head of Data Science & ML, you will be leading some of the most technical teams with the widest skill sets at Density. Everything from our machine learning algorithms on the embedded devices, to the cloud software the CS & Engineering team use to evaluate our accuracy and performance, will be under your supervision. Who you are:
The ideal candidate will have:
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Senior Backend Software Engineer |
docker aws postgresql node-js mongodb backend | Mar 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Backend Software Engineer is the technologist responsible for designing, developing, and maintaining our core Federated GraphQL APIs and backend micro services for all Go products and services. The ideal candidate:
You must have professional, production experience in:
As we are a startup, we are still building toward our ultimate vision, and are still building out our technical infrastructure. You will be one of a handful of engineers with a hand in charting the course! Planned upcoming technologies include:
Tools we use every day:
Bonus experience includes:
The role requires at least five years of experience on a team building production client-server backend software deployments.
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Director of Pricing |
executive data science testing | Mar 15 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Quartzy is seeking a Head of Pricing. In this role, you will own the strategy and execution of pricing initiatives for over 10M+ products across thousands of brands. You will have the opportunity to build and lead a team of data scientists and analysts to help you achieve your vision. This is a unique opportunity for someone to build a world class pricing function from the ground up. Quartzy is a 100% distributed team so this role can be done anywhere in the US. About You You are deeply knowledgeable and experienced in the planning and execution of pricing strategies for an e-commerce channel or marketplace platform that makes large scale pricing decisions everyday. You are either currently in a technical role, or in a role that requires you to understand technical concepts and work directly with technical teams to be successful. You are also inherently a self starter, and can move fluidly between defining a strategy against business objectives and executing specific initiatives on your roadmap. Lastly, you are comfortable working with senior leaders across the business and driving cross functional initiatives towards results. We are looking for someone to not only build out our pricing team, but can eventually lead our data science and analytics function as well. Why Quartzy Quartzy is the world’s #1 lab management platform. Every day, hundreds of thousands of scientists from all over the world improve the efficiency of their research by using Quartzy. Our software combines lab resource management and eCommerce, producing unique value in this large market, returning time to researchers who can focus on their next discoveries. Our customer range from wine makers, to food/ag companies, to companies working on COVID testing and therapies. We are humbled every day to serve them. What you'll do
What we're looking for
What we offer
Does this sound like you? We'd love to hear from you.
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Senior Full-Stack Django/Python Developer |
python django postgresql rest javascript senior | Mar 13 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Minimum Requirements:
Subject Matter Expertise: We prefer developers who have had experience on projects that incorporate at least one of the following: social media, eCommerce, online payment processing, click tracking, Data Science, distributed ledger tech, advertisement delivery, display advertising, branding and online marketing.
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Software Engineer |
python cs data science cloud | Mar 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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This is a unique role that offers broad exposure to software engineering and data science. We are eager to find underrepresented candidates who are early in their career and don’t want to choose between engineering or data science. Working with data science and engineering, you will be deeply enmeshed in the critical nuances of disambiguation, normalization, standardization and other ETL skills. You will also have the opportunity to work in all stages of our software process from researching data sources to developing data pipelines and building business intelligence visualization tools. Responsibilities
Background/Experience
Benefits Koffie is an insurance company purpose built for the autonomous vehicle era. We are taking transportation insurance out of the dark ages by using modern technology to deliver instant policies based on advanced safety and autonomous technology. As an InsurTech, Koffie is free from legacy systems and inefficient processes, our AI-driven predictive models deliver a reimagined insurance experience for fleets. We believe strongly in diversity of thought which comes from different backgrounds and experiences. Our vision is to align incentives across fleets, technology providers, brokers and the automotive industry. By catalyzing the adoption of safety technology, we positively impact road safety and facilitate a more efficient supply chain. We’re backed by top-tier VCs in the fintech and mobility sectors. If you're ready to work obsessively with us to make insurance better, faster, more efficient and build products for the next 100 years of mobility, we want to hear from you, regardless of where you live. For US employees we offer a competitive salary, stock options, unlimited vacation, 100% employer paid health, vision and dental plans, commuter benefits and discounted fitness classes, generous WFH stipend, personal learning/training (for professional and industry certification) and conference budget. For remote hires outside the US, we are unable to provide some of these benefits. Although this position is WFH, we envision meeting face-to-face as a team every 6-8 weeks for several days once things return to 'normal.' Hiring process for this role is as follows: initial screen by hiring manager, coding challenge (administered by iMocha), Zoom screen, Zoom technical interview, Zoom interview with additional team members, then offer. We hope to have candidates go from submission to offer in under two weeks.
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Risk Adjustment Operations Analyst |
data science ops healthcare | Mar 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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A bit about us: We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly. We want to throw the long ball with people we love for a cause we believe in. Life is short. Join us. A bit about this role: As the Risk Adjustment Operations Analyst you will provide analytics which shed insight into all aspects of our risk adjustment operations. You will produce professional, accurate, common-sense business intelligence dashboards that will empower our operations leaders to manage our business. You will be responsive to needs as they occur, and dislodge issues by developing workable, prioritized units of work for operators. You will build trust and credibility within our team and as an ambassador to the broader organization by delivering practical and meaningful analytics solutions. You will partner closely with our operators, data scientists, software engineers, and product managers. You will help drive the stewardship of risk adjustment analytics across our organization, ensuring consistent understanding across our teams. Responsibilities will include:
Key attributes:
Desired skills and experience:
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business. As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Design Director, Books |
executive data science | Mar 08 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas. Our mission hinges on design: designing a product that helps readers discover the stories that matter to them; designing an ecosystem that supports and rewards quality writing; designing an experience that respects intelligence and is worth paying for. We are building this future, one product release at a time, and looking to designers to help lead the way. We are looking for a Design Director to lead the brand-new Books initiative at Medium. Medium is expanding into books, aiming to be the best platform for reading and writing, whether it’s a short blog post or a full-length book. You will collaborate with product and engineering peers to develop a vision for Medium Books and work with the team to execute on that vision. You will collaborate closely with the VP of Product Design on high-level strategy, and translate that strategy into clear guidance, process, and feedback for product designers. This is a high-impact role with the opportunity to shape how millions of people discover and share ideas every day. What will you do?
Who are you?
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We understand the value of diverse backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.
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Senior Data Scientist |
senior python data science machine learning | Mar 07 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Does the challenge of scaling a fast-growing company by empowering it with data, reporting and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will help develop quantitative view of customer health at scale. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit! In this role, you will leverage data & analytics to shape Atlassian's understanding of how our customers use our services. You will get to work on one of the most important problems faced by Internet first companies - Churn. You will specifically focus on insights that help reduce customer churn. You will help build customer risk models that give us an early warning of at-risk customers. You will use diverse set of techniques spanning machine learning, causal inference, and other forms of statistical modeling to solve important business and product problems. You will drive cross functional data science projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, research, prototype, build out ETL pipelines and models in production, and present methodology and key insights to stakeholders On your first day, we expect you to have: -5+ years of experience in analytics or closely related fields -Expertise in SQL and development experience in a programming language, Python is strongly preferred -Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story -Experience translating insights into decisions and actions that have a direct business impact -Strong sense of accountability, self-drive, and the ability to function independently -Undergraduate in a technical subject from a top school It’s great, but not required, if you have: -Experience in both enterprise (or B2B) as well as consumer (or B2C) environments -Track record of presenting at meet-ups and conferences -MS or PhD degree in a relevant topic More about Customer Analytics at Atlassian The Customer Analytics team at Atlassian is tasked to drive insights about our customers throughout their lifecycle with Atlassian. From customer health to product performance health, understanding movements of our customer across platforms, utilisation of our products; we empower our leaders with data and insights that they can use to make impactful decision. Our team partners very closely with other analytics team within Atlassian to maintain a high bar of delivering meaningful insights, and we love to have fun along the way. Come join us, to provide outstanding product and customer experience powered by analytics. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Product Operations Summer 2021 Intern |
data science cloud api | Mar 04 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Spreedly is a rapidly growing, growth private-equity funded digital payments company with headquarters located in downtown Durham, North Carolina. We've developed a high volume, global solution to support our vision that the world is better with a diversified, inclusive, payment ecosystem. Our employees help build a culture that values independence, transparency, and collaboration in a digital-first communication environment. We hope you do your best work at Spreedly and find a mature workplace striving to support the ebb and flow of work-life harmony. Spreedly is the world’s first, and leading, Payments Orchestration solution. Connecting to multiple payment services, known as payment orchestration, is the new standard. Building and maintaining custom payment integrations can be slow and expensive. With Spreedly’s PCI compliant cloud solution, merchants can connect to one or multiple payment services simultaneously, work with global payment gateways, control card data, and accept alternative payment types. The business is experiencing rapid growth and now serves 600 customers globally. Many of Spreedly’s customers are platforms and marketplaces that have thousands of their merchants leveraging our payments platform. Our customers include industry leaders in digital goods, order ahead and delivery, online marketplaces, event ticketing, donations/giving, and financial services. In 2020, Spreedly’s customers and payment service partners completed over one million transactions per day via the Spreedly platform totaling over $20 billion annually. Backed by Spectrum Equity, with a $75M investment, Spreedly is experiencing its next wave of rapid growth. You'll join the fast growing Product team and play a key role in establishing the practice of Product Operations at Spreedly. You'll work with the Product team to develop best practices for managing the Product tech stack, perform data analysis, facilitate product experiments, and collaborate with cross-functional stakeholders across the company to advance our product-led vision. Key responsibilities
Requirements
What we offer
This role is open to remote candidates, however preference will be given to candidates local to Durham, NC as well as in the eastern timezone. Spreedly is an equal opportunity employer. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training. Due to the sensitive nature of what Spreedly does- handling payment data- candidates must complete a successful background check. If you have concerns along those lines, please discuss with us sooner rather than later- we do not want you to waste time in the hiring process and get disqualified at the end if we can help it. Some of our positions are open to remote applicants. If this is the case it will be sited in the job posting just below the position name. Unless otherwise stated, remote positions are open to candidates in the contiguous US only. We are not set up to support remote employees from CA, NY, or outside the contiguous US. All applicants must have a US work visa. We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.
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Data Science Manager, GTM |
data science manager python machine learning saas testing | Mar 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Do you have a passion for examining complex data and turning it into useful information and insights? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the world's hottest SaaS company? Atlassian is looking for Data Science Manager to join our Marketing Analytics team. We’re seeking someone with strong business instincts and analytics mastery. Someone who is passionate about applying these skills to drive smarter data decisions and ultimately, delight our customers. You'll be responsible for understanding and optimizing critical moments in our product buyer journey. You’ll do this by partnering with analytics and go-to-market specialists to understand the business, and developing insights and recommendations. In this role, you’ll have both people management and individual contributor responsibilities, and will get to:
On the first day, we'll expect you to have
It's great, but not required, if you have
More about our team The Marketing Analytics team has spent many years blazing new trails to enable Atlassian's most important growth decisions. We are constantly growing, learning, and trying to do things differently. We connect the dots from highly complex data and analytics to how our go-to-market teams can create impact effectively with that knowledge. We are detailed and dedicated to an agile methodology that enables timely decisions, while still ensuring quality work. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. For us, it is all about enabling Atlassian to grow by delivering data in the right way, at the right time, to partners across the company. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Director of Data |
executive blockchain data science machine learning crypto | Mar 02 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Kraken Kraken is changing the world. Join the revolution! Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we’re growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. In less than a decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1200 today and we have no intention of slowing down. About the role This is a fully remote role, we will consider applicants based in North America, South America and Europe Kraken is expanding its data team! This is an incredible opportunity to join a market leader in the hottest global industry. With growth rates and innovation opportunities not seen since the early internet days, Kraken is positioned to win. This role will be responsible for a critical aspect of the business and will play a significant role expanding Kraken’s business, while working alongside the brightest minds in the crypto industry. This position will be a cornerstone of the product team working with internal and external engineers and technologists, designers, business leadership, partners and customers. We are building a data team of highly motivated self-starters who possess sound business acumen, make data-driven decisions, and clearly communicate their vision and plans to others. We are seeking people who are professional but know how to have fun too! You will be the product owner of Kraken’s data related products. The cross-functional leader that establishes Kraken’s data as a product. You define, measure, validate and reconcile all products and line-of-business data for the teams that require it. You develop a deep understanding of Kraken’s products, a deep empathy for customers and a clear vision of how the product should evolve. You have a proven track record of leading and scaling data analytics products. You are a self-starter, results driven and passionate to drive success of products at Kraken using the power of data analytics. Responsibilities
Requirements
Preferred Qualifications
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives. Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of. Learn more about us
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Senior User Researcher |
senior ar data science machine learning finance | Feb 28 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Hello, fellow questioner of human behavior – we’ve been waiting for you. We know you crave work that propels you out of bed each morning with a sense of possibility and mission. We know you yearn for a team where you’re truly an equal, contributing to customer research, product strategy, and feature definition side by side with your peers in product and engineering. We know you’re beyond done with office politics and simply want to do your best, trusting in the respect and reasonableness of your colleagues. And, like you, we know that once in a blue moon an opportunity comes along that you can’t shake, that you know could be the next formative chapter in your life. That’s what we’re doing. Will you join us? Our mission, simply put, is to help growing businesses thrive by stabilizing their cashflow. Cash in, cash out is the lifeblood of any company, and our ML-driven tools help customers collaborate, automate, and anticipate more effectively in their businesses. Here’s what we need for you to succeed:
Your day-to-day will include:
Your profile probably looks like:
You’ll be working:
Finally, a little about us: Tesorio helps growing companies achieve strong cashflow performance so they can shift from short-term acrobatics to long-term growth and innovation. We build intuitive, actionable tools that leverage machine learning (ML) to help mid-market businesses manage, predict, and collect cash – an essential activity at any time but a critical business function in challenging economic environments. Our platform analyzes billions of dollars of B2B transactions each year and our users spend 70% of their workday in Tesorio. As a result, not only do we save finance teams thousands of hours but we enable their companies to invest more confidently and anticipate their capital needs further in advance. We’re growing quickly and work with the world’s best companies and the largest bank in the US. We recently raised a $10MM Series A led by Madrona Venture Group and are backed by top investors including First Round Capital, Y Combinator, and Floodgate. We’re also backed by tenured finance executives, including the former CFOs of Oracle and NetSuite. So, wait… Did you look at all those items above and even though you can check off most of them, you were still hesitant about your qualifications? If so, we especially want to hear from you. We’re a group of humble folks who encourage each other to do amazing things. We think you might be one of those too.
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Design Researcher |
data science testing | Feb 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas. We are looking for a Design Researcher to help us deepen our understanding of our writers and readers. You’ll help define and prioritize the problems that Medium should be solving using a mix of qualitative and quantitative tools. You’ll work with teams to understand markets, go deep on user problems, validate product concepts and help product designers identify the small changes that could make a huge impact. This position reports to the Senior Design Researcher. What Will You Do?
Who You Are?
We prefer for you to be in our New York office, but we are open to applicants in San Francisco or elsewhere (remote). At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We understand the value of diverse backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.
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Engineering Manager, EU |
manager ruby data science aws mongodb finance | Feb 22 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Who We Are: Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. We are a privately held company headquartered in San Francisco and was a member of AngelPad’s startup incubator program in 2013. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary: As Sensor Tower continues to grow as a global company, we are looking for an engineering manager to drive our software engineering efforts. We have a wonderful team of more than a hundred employees and are preparing for much more growth in the coming year. We are looking for a hands on engineering manager that has experience and passion for leading people as well as developing our product in our fast-growing exciting environment. You will report to our Director of Engineering while working closely with our cross-functional product development team and with our founders . Responsibilities
Requirements
Read more about some of our Technical challenges here (written by members of our engineering team): Read more about our Engineering Culture here: https://www.keyvalues.com/sensor-tower Why Join Sensor Tower? Our Background: We were named one of the 50 Tech Companies to Know in 2020 and Best Midsize Companies to Work For 2021 by BuiltIn. After seven years of building Sensor Tower off of $1MM (Seed, 2013), we're excited to announce our $45MM growth investment. Read more about it here, in the words of our co-founders. We have a birds-eye view of the entire mobile app ecosystem, and we keep our teams constantly abreast of the latest mobile app trends, news, and best practices. Our Values: Sensor Tower's Core Values: Customer-Focused, Innovative, Continuously Learning, Action-Oriented, Respectful, Data & Metrics-Driven. We grant options to all of our employees because we recognize that everybody plays an integral role in our success; thus all employees should be invested in Sensor Tower (both figuratively and literally). Our Benefits: We offer unlimited PTO, Health and Wellness stipends, flexible work hours, 401K, team trips (white water rafting, Hawaii, and weekend Tahoe mansion trips to name a few), and more. Our Covid-19 Specific benefits include: Stipend to set up your home office and/or gym, WiFi stipend, daily UberEats delivery stipend, and virtual team events. Sensor Tower is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you have a disability or special need that requires accommodation, please let us know.
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Competitive intelligence Analyst - Remote |
data science | Feb 22 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. Dataiku is looking for a Competitive Intelligence Analyst to join our competitive intelligence team. Working out of one of Dataiku’s major offices in Europe, we are looking for a team player, with integrity, energy, a thirst for knowledge, an analytical mindset, and a demonstrated ability to convince a diverse audience, including potential customers. As we quickly scale, you’ll help us develop a deep understanding of the competition and deliver actionable insights, analysis and enablement to ensure all Dataiku Teams compete effectively in a dynamic market. This role offers a motivated and hardworking individual the opportunity to make an impact while learning about many aspects of our business. You’ll be a key member of our Competitive intelligence Team and report directly to our Competitive Intelligence Manager. In this role, you'll help the team
This role might be a good fit if you have...
Preferred qualifications:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Product Manager, Data |
senior manager product manager blockchain data science machine learning | Feb 19 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Kraken Kraken is changing the world. Join the revolution! Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we’re growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. In less than a decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1200 today and we have no intention of slowing down. About the role This is a fully remote role, we will consider applicants based in North America, South America and Europe Kraken is expanding its product team! This is an incredible opportunity to join a market leader in the hottest global industry. With growth rates and innovation opportunities not seen since the early internet days, Kraken is positioned to win. This role will be responsible for a critical aspect of the business and will play a significant role expanding Kraken’s business, while working alongside the brightest minds in the crypto industry. This position will be a cornerstone of the product team working with internal and external engineers and technologists, designers, business leadership, partners and customers. We are building a product team of highly motivated self-starters who possess sound business acumen, make data-driven decisions, and clearly communicate their vision and plans to others. We are seeking people who are professional but know how to have fun too! You will be the product owner of Kraken’s data products. The cross-functional leader that establishes Kraken’s data as a product. You define, measure, validate and reconcile all products and line-of-business data for the teams that require it. You develop a deep understanding of Kraken’s products, a deep empathy for customers and a clear vision of how the product should evolve. You have a proven track record of leading and scaling data analytics products. You are a self-starter, results driven and passionate to drive success of products at Kraken using the power of data analytics. Responsibilities
Requirements
Nice to Have
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives. Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of. Learn more about us
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Head of BI |
data science saas big data finance healthcare | Feb 19 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Company Description Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed. Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x. Since its founding in 2014, Hyperscience has grown to more than 250 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits. The Finance team at Hyperscience is responsible for supporting the strategic growth of the company in an ever changing environment and for enhancing the company's accounting, financial and analytical operations. Finance team members are responsible for all day-to-day accounting and FP&A activities, ensuring optimal reporting, governance, analysis, budgeting, forecasting, and strategic decision making.Given our rapid growth it’s time for Hyperscience to develop a Business Intelligence (BI) function and hire someone to build this from scratch. This role will report to the VP of Finance and partner with the leadership team and their functional analysts and own all things BI related. This will range from data engineering to Looker ownership to data modeling to KPI reporting and everything in between. This role will be responsible for all BI processes that align with our strategy, meet our current analytical needs, and create a cross-functional infrastructure, and standards and practices, that are flexible and scalable with both organic and in-organic growth. We have ambitious plans as a company and are looking for a Head of Business Intelligence who will own the vision, strategy, and implementation of our BI function. Responsibilities
Qualifications
Benefits - Top notch healthcare for you and your family - 30 days of paid leave annually to help nurture work-life symbiosis - A 100% 401(k) match for up to 6% of your annual salary - Stock Options - Wellness stipend - Pre-tax transportation and commuter benefits6-month parental leave (or double salary to pay for your partner's unpaid leave) - Free travel for any person accompanying a breastfeeding mother and her baby on a business trip - A dependent care stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total - Daily catered lunch, snacks, and drinks - Budget to attend conferences, train, and further your education - $1,000 one-time-use WFH stipend and $75 monthly WFH stipend - Relocation assistance We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia/UK roles: All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Talent Acquisition Partner |
data science finance | Feb 18 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. Dataiku’s People Team is looking for a driven Talent Acquisition Partner with experience of working in a fast-paced target driven environment for a 2-3 month assignment. In this role you’ll directly contribute to the end to end hiring of individuals for our offices globally. Ensuring that Dataiku has the right people in the business is critical to our future success. As such, this person will play an important role in supporting a recruitment drive within our Finance, Legal, and Accounting functions. In this role, you'll help the team:
You might be a good fit if you have:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Data Scientist - Compliance Systems |
python data science machine learning big data crypto nlp | Feb 17 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Kraken Kraken is changing the world. Join the revolution! Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we’re growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. In less than a decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1200 today and we have no intention of slowing down. The Compliance Systems team works at the intersection of Data Science, Product and Compliance. The Systems team is looking for a Data Scientist with a background in statistics, machine learning and/or natural language processing to help us build and maintain models to describe and predict anomalous customer activity on Kraken’s platform. The role will involve maintaining the transaction monitoring rules codebase, ensuring that requirements for model validation are met, and building a number of new models to enhance existing controls. There is significant scope for innovation in this role, and we are looking for someone who thrives in an environment of ‘freedom with responsibility’. The ideal candidate would have some familiarity with the control systems used to comply with regulatory requirements under BSA/AML or AMLD 4+, but this is not required. A great candidate will be someone who has experience solving customer and behaviour profiling problems in an evolving data environment. Responsibilities
Requirements
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives. Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of. Learn more about us
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Senior Software Engineer Backend |
cs .net-core microservices artificial-intelligence machine-learning backend | Feb 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About the role:
About you:
As a plus:
What we offer:
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Senior Data Scientist |
senior python data science healthcare | Feb 13 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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A bit about us: We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly. We want to throw the long ball with people we love for a cause we believe in. Life is short. Join us. A bit about us: We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly. We want to throw the long ball with people we love for a cause we believe in. Life is short. Join us. A bit about this role: We are looking for a Senior Data Scientist who can serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This role will report into our Data Science team, and will work alongside Product Managers, Data Engineers, Software Engineers, and Business Leads to solve key challenges for the company. Responsibilities will include:
Required skills and experience:
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business. As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Founding Software Engineer |
aws python data-science backend javascript data science | Feb 13 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About us:
Remote work is ok! Rasgo is re-imagining how Data Scientists work by eliminating the mundane data preparation and feature engineering tasks that currently take up 80% of a Data Scientists time. Rasgo is the data access layer for machine learning: a platform that allows Data Scientists to discover, share, and create model features without worrying about underlying infrastructure or where data is located. Rasgo reduces the time required to model training by eliminating the need to join together disparate data sources. Our platform connects with Data Warehouses, SaaS tools (Salesforce, WorkDay, Google Analytics, etc.), and External Data Sources, leveraging metadata to represent features and handling all join and transformation processing for you. With Rasgo, data scientists never have to join data again. What we are looking for: Rasgo is looking for an experienced builder who excels in wide open environments. You'll partner with our Founders, the CEO and CTO, to help develop the product from a beta through public launch and beyond. This is a rare chance to help reinvent an entire space with a next-gen solution. Must Haves:
Nice to have - Platform Familiarity
Benefits Seed-stage equity Health, Vision and Dental Generous PTO / sick leave Remote work is ok Unfortunately we are unable to sponsor at this time
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Senior Product Manager, Pogs |
senior manager product manager data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Here at Medium, we are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. Medium started in 2012 as an elegant, blank canvas for anyone to share their thoughts or ideas with the world. Writers are core to our platform and germinate the discussions taking place in myriad communities across Medium’s network. On Medium, writers begin their journey by leveraging our network for reach, but quickly move towards establishing a distinct brand, building a loyal audience, and making money from their creative energy. As a Product Manager on the Creator Experience team you’ll work to intimately understand the needs of writers and build tools to help them define their brand, express their ideas, amplify their voice and engage their audience on the platform. You’ll work to significantly increase the number and quality of writers that choose Medium as their home, help new ones get discovered and support them on their path towards success. What You'll Do:
Who Are You:
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We understand the value of diverse backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.Interested? We'd love to hear from you. Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in "@medium.com". Anything else is not a legitimate outreach.
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Software engineer Cloud Platform - London |
cloud java python javascript data science machine learning | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. As enterprises worldwide become more and more invested in the cloud, Dataiku looks to expand its services and offerings to adapt to rapidly shifting customer needs. We are looking for a talented software engineer to work on the core multi-cloud engines of Dataiku DSS and our new SaaS offering. Dataiku DSS brings together big data and AI technologies into a unique and easy-to-use platform. It allows data scientists to process data with SQL databases, Spark, and Kubernetes with either user-friendly interfaces or code. The platform is technology agnostic and can adapt to any ecosystem. What we do The mission of the Cloud & Platform teams is to turn Dataiku DSS into a powerful and scalable platform that can run either as a SaaS offering or be deployed by our customers to their AWS, Azure, or GCP infrastructure. This includes reading from and writing data to Snowflake, BigQuery, Redshift, Synapse, PostgreSQL, MongoDB, etc., and processing data using the latest processing engines and clusters (Spark, Kubernetes, SQL databases, etc.). What you will be doing You will work on the core components of Dataiku DSS. Here are some examples of what you might do: - Improve scalability and latency of Dataiku DSS processing engines - Support new cloud services & databases capabilities - Enforce security best practices - Ease installation & deployment of Dataiku DSS on customers; cloud subscriptions - Deploy machine learning models at scale Our current technical stack is based on a mix of Java and Python on the backend with Javascript for the frontend. You are the ideal recruit if:
Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software engineer AI & Machine Learning - Paris |
machine learning java python javascript scala data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend. You are the ideal recruit if:
(Note : This is a Software Engineering job. We have separate Data Scientist positions open.) Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software engineer AI & Machine Learning - London |
machine learning java python javascript scala data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend. You are the ideal recruit if:
(Note : This is a Software Engineering job. We have separate Data Scientist positions open.) Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software engineer AI & Machine Learning - Remote |
machine learning java python javascript scala data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend. You are the ideal recruit if:
(Note : This is a Software Engineering job. We have separate Data Scientist positions open.) Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Data Science Intern |
data science python machine learning cloud | Feb 08 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn. Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube. To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools. Quizlet offers an exciting 2021 Summer Internship Program beginning June - September. Our program is an 11-week paid internship that focuses on enabling students to advance their professional preparation through work experience, professional development, and mentorship. We have a fun summer planned for you with several events and workshops. You will work on real projects, features, and updates that will contribute to Quizlet and impact our 50 million+ users. While Quizlet is located in San Francisco, CA, and Denver CO, our internship program will be fully remote this summer. We're looking for: A Data Science intern to work on our study tools, and help improve the questions we ask on Quizlet In this internship, you’ll:
At a minimum, we’d like you to have:
It’s Preferred if you have:
Education:
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold. Quizlet's Team Culture We are here to make education better and more accessible. We strive to improve the lives of students and teachers at every stage and in every setting. We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do. We sweat the details and take personal accountability and pride in anything that carries the Quizlet name. We speak up, jump in and work with each other to fix problems, and never say "that's not my job." We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company. Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
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Product Designer Confluence |
product design data science testing | Feb 08 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. JOB DUTIES: WORK WITH UX/PRODUCT DESIGN AND WORK ON THE ENTIRE END-TO-END SOFTWARE DESIGN PROCESS FOR THE CONFLUENCE PRODUCT, FROM EARLY STAGE RESEARCH AND IDEATION TO IMPLEMENTATION AND CONTINUING ITERATION. CONDUCT SOFTWARE PRODUCT IMPROVEMENT AND NEW PRODUCT DEVELOPMENT FOR THE CONFLUENCE SOFTWARE PRODUCT. BUILD ON EXISTING FEATURES, IMPROVE THE USABILITY AND ENHANCE VISUAL, AND INTERACTION OF PRODUCTS. PERFORM RESEARCH THAT WILL AID IN THE DEVELOPMENT OF SOFTWARE PRODUCTS. UTILIZE USER-CENTERED DESIGN METHODS AND BEST PRACTICES, COMPANY’S DESIGN GUIDELINES, DESIGN TOOLS SUCH AS EXPERIENCE CANVAS, JOURNEY MAPPING, AND PERSONAS. INCORPORATE ITERATIVE DESIGN, AGILE PRACTICES, AND SOFTWARE DEVELOPMENT LIFE CYCLES. ENSURE THE CONTINUED GROWTH OF CONFLUENCE PRODUCT. IMPLEMENT TRACKING CODES IN PRODUCTS BUILT. ADVOCATE FOR QUANTITATIVE DATA AND MEASUREMENTS, UTILIZE THE DATA SCIENCE METHODOLOGY AND COMPREHEND THE RESULTS AND IMPACT OF THE WORK THAT SHIPPED TO CUSTOMERS. WORK WITH AGILE SOFTWARE DEVELOPMENT. PRODUCE THE PLANS FOR A SOLUTION AND UNDERSTAND HOW TO WRITE DETAILED SPECIFICATIONS FOR DEVELOPERS TO GO AND BUILD THE FEATURES CULTIVATED THROUGH AN EXHAUSTIVE PROCESS OF UNDERSTANDING AND IDENTIFYING A PROBLEM, GATHERING INSIGHTS THROUGH A VARIETY OF UCD METHODOLOGIES AND USER RESEARCH AND CUSTOMER INTERVIEWS, FORMING HYPOTHESES AND DOCUMENTING ASSUMPTIONS BUILDING AND TESTING WIREFRAMES BUILDING AND TESTING HI FIDELITY PROTOTYPES, EARLY SIGNAL TESTING, CONCEPT VALIDATION, USABILITY TESTING, HIGH FIDELITY MOCKUPS, INTERACTION AND BEHAVIOR SPECIFICATIONS. RESPONSIBLE FOR DESIGNING ACROSS FIDELITIES – FROM PAPER TO FINAL PIXEL. BUILD A VARIETY OF DIFFERENT PROTOTYPES THAT WILL BEST ADDRESS THE SPECIFIC TYPE OF RESEARCH AT THE APPROPRIATE FIDELITY. SKETCH DESIGNS AND CREATE LOW FIDELITY MOCKUPS, AND SCALE THOSE ALL THE WAY UP TO HIGH FIDELITY PROTOTYPES. WORK WITH VARIOUS PROTOTYPING TOOLS TO DEVELOP DESIGNS IN DIFFERENT LEVEL OF FIDELITY: E.G., INVISION FOR MEDIUM-FIDELITY; FRAMER, AXURE FOR HIGH-FI. WORK WITH MICRO INTERACTIONS AND ANIMATIONS. SYNTHESIZE USER AND BUSINESS REQUIREMENTS AND CONSTRAINTS, AND COMMUNICATE THEM AS JOURNEY MAPS, WORKFLOWS, SCREEN FLOWS, SITE MAPS, USER STORIES, PERSONAS, VISUALIZATIONS OR CONCEPTUAL MODELS. ADVOCATE FOR THE END USER'S AND CUSTOMER'S NEEDS, PERSPECTIVES, AND GOALS, ALONGSIDE AND IN COMBINATION WITH BUSINESS GOALS. MINIMUM REQUIREMENTS: MASTER DEGREE IN COMPUTER SCIENCE OR RELATED FIELD PLUS 2 YEARS OF PROFESSIONAL UX/PRODUCT DESIGN EXPERIENCE WORKING WITH CROSS-DISCIPLINARY TEAMS (PRODUCT, ENGINEERS, UX DESIGN, VISUAL DESIGN, AND CONTENT) BY USING DESIGN TOOLS OF SKETCH, FIGMA, ADOBE, OR FRAMER; AND PROTOTYPING SKILL. ALTERNATE REQUIREMENTS: BACHELOR’S DEGREE IN COMPUTER SCIENCE OR RELATED FIELD PLUS 5 YEARS OF PROFESSIONAL UX/PRODUCT DESIGN EXPERIENCE WORKING WITH CROSS-DISCIPLINARY TEAMS (PRODUCT, ENGINEERS, UX DESIGN, VISUAL DESIGN, AND CONTENT) BY USING DESIGN TOOLS OF SKETCH, FIGMA, ADOBE, OR FRAMER; AND PROTOTYPING SKILL. SPECIAL REQUIREMENTS: MUST PASS TECHNICAL INTERVIEW. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Product Analyst Intern |
data science | Feb 08 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Quizlet’s mission is to help students (and their teachers) practice and master whatever they are learning. Every month more than 50 million active learners from 130 countries practice and master more than 300 million study sets on every conceivable topic and subject. We are developing new learning experiences by modeling how students learn and drawing upon knowledge acquisition, retention, and pedagogy in cognitive science. We are always seeking to help students master any subject by optimizing study efficiency and engagement. Quizlet offers an exciting 2021 Summer Internship Program beginning June - September. Our program is an 11-week paid internship that focuses on enabling students to advance their professional preparation through work experience, professional development, and mentorship. We have a fun summer planned for you with several events and workshops. You will work on real projects, features, and updates that will contribute to Quizlet and impact our 50 million+ users. While Quizlet is located in San Francisco, CA, and Denver CO, our internship program will be fully remote this summer. We're looking for: A quantitative Product Analyst Intern to drive insights and informed product decisions -- someone who is passionate about analytics and wants to help shape the future of the Quizlet product. The Product Analyst Intern will be part of the data science and product analytics team, and will partner with the Growth team at Quizlet. Our team is scrappy, focused on results, and full of self-starters. In this internship, you’ll:
At a minimum, We’d like you to have:
It’s Preferred if you have:
Education:
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold. Quizlet's Team Culture We are here to make education better and more accessible. We strive to improve the lives of students and teachers at every stage and in every setting. We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do. We sweat the details and take personal accountability and pride in anything that carries the Quizlet name. We speak up, jump in and work with each other to fix problems, and never say "that's not my job." We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company. Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
Share this job:
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Senior Data Engineer |
senior data science cloud api aws | Feb 05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Segmint empowers financial institutions and financial technology providers to easily understand and leverage data, interact with customers, and measure results. Derived from billions of transactions, Segmint provides the fastest and most accurate customer insights through advanced data tagging, categorization, and contextualization. Our insights enable all functions of an organization to inform strategies including competitive analysis, risk, marketing, customer experience, and product innovation. Position Summary The Senior Data Engineer is responsible for the development and maintenance of Segmint’s data pipeline and data warehouse solutions. Duties include developing, deploying, and monitoring database-centric data ingestion and analytics processes relating to anonymized banking analytics in a multi-tenant, SOC2-compliant, distributed computing environment, at scale. Also responsible for analyzing, cleansing, mapping, and integrating new, outside data models to the solution regularly. Applicants should be fast-paced, detail-oriented, organized, consistent, and analytically-minded. This position reports to our Cuyahoga Falls, Ohio office but does allow for a remote working option. Our employees are currently working remote until we feel it is appropriate to offer the option to return to the office. This position can remain remote indefinitely. Required Skills
Required Experience
Additional Experience
Benefits & Perks
Note: Due to the nature of Segmint’s business, it is necessary for all employees to sign an Intellectual Property Employee Agreement. Segmint Inc. is an Equal Employment Opportunity / Affirmative Action Employer and maintains a Drug-Free Workplace.
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