Remote Data Science Jobs
Yesterday
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Enterprise Account Executive - Ohio |
executive data science big data | Jun 23 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 Account Executive to join our team and cover the Ohio, Michigan and Kentucky. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion. We’re looking for someone who can express passion about new technologies and the possibilities of Big Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Ohio region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. You might be a good fit if you have:
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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Enterprise Account Executive - Ohio |
executive data science big data | Jun 23 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 Account Executive to join our team and cover the Ohio, Michigan and Kentucky. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion. We’re looking for someone who can express passion about new technologies and the possibilities of Big Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Ohio region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. You might be a good fit if you have:
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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Sr. Analyst, Acquisition |
python data science | Jun 21 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 10M users across 120k+ companies. Our customers are global and use Loom at work at world-class companies including Netflix, HubSpot, Atlassian, Juniper Networks, and Twitter. Founded in 2015, Loom has raised over $200 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, and Andreessen Horowitz. The Role: We’re looking to add a Senior Analyst to our growing Data team to help us measure the impact of our Acquisition initiatives (Marketing and Sales) and identify growth and optimization opportunities 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 conducting ad-hoc research, creating dashboards, building funnels, and crafting complex database queries and ETL pipelines. The ideal candidate will be data-driven, enthusiastically curious, and a clear communicator. Your Responsibilities
What We're Looking For
How We Work Freedom and Flexibility: At Loom, we believe work is an act, not a place. When we disengage work from a location, we can accommodate a broad range of life choices. You can choose to work from home or while you travel. If you are in the Bay Area, you can drop by our San Francisco office on 2nd and Market St. when reopens in Fall 2021. We are able to hire across the United States and Canada* and are continuing to expand our international presence. And you are free to move within a country without any adjustment to compensation. Engaging Workday: The key to an engaging workday is finding the right balance between different ways to work sync, async, text and video. Loom makes it easier for us to say what we mean without having to schedule a zoom meeting or struggle to find the right words. And using async communication allows us to free up time for deep work every day. We believe there's a place for sync time - often a conversation on Zoom is exactly what is needed. For team meetings, this ‘sync time’ is typically between 9AM-Noon PT given where the overlap of timezones where Loommates are located. Work-Rest Balance: The way we balance the fast-paced demands of a high-growth startup and sustainability is making rest a priority. We offer a flexible PTO policy so you're able to take time off when you need it. We also go fully offline once a year between Christmas and New Year (and twice during the Pandemic). Rest is also part of the workday, not just during PTO. Taking a break for personal commitments, whether it's watching the kids or getting some exercise is natural part of the workday. Social Connection: Relationships and connectedness matter. We are intentional about building trust and relationships through unique, shared experiences. Our virtual workspace keeps us connected day-to-day whether it's through Looms celebrating wins or our buzzing Slack communities. Post-COVID, we want Loommates to meet in person at least twice a year purely for fun. We're also experimenting in local offices as social spaces, starting with San Francisco in Fall 2021. 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 Backend Software Engineer |
docker aws postgresql backend senior data science | Jun 17 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Senior 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:
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This Month
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Sr. Product Manager- LATAM |
manager product manager data science ios healthcare | Jun 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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PLEASE NOTE: This position is open to candidates sitting in Central and South America! It is a Full-Time 100% remote position We believe that diversity is the building block of a great culture and company! Great healthcare technology is meant for everyone, so we believe our company should be, too. We welcome and encourage people of all backgrounds and walks of life to apply! At DrChrono, we aim to get perspectives from all paths to help us build the best products possible. Learn more about our commitment to diversity, equity, and inclusion here. Our mission is to build a technology platform that enables medical practices of all sizes to make care more informed, more personalized, more interactive, and more adaptable. Our platform has been used by thousands of physicians who in turn have provided care to millions of patients. About DrChrono, our Product, and Engineering ✅ We serve tens of thousands of healthcare providers and over 27.7 million patients 🩺 ✅ DrChrono was the first EHR to build a native app for the iPad and iPhone 📱 ✅ First mobile and cloud-based ambulatory EHR / EMR to be an Apple Mobility Partner ✅ The youngest company to be included in the US Government Precision Medicine Initiative ✅ The #1 EHR as voted by doctors, and the #1 mobile EHR as voted by Black Book for the last 9 years! 🔥 ✅ We were just awarded the MedTech Breakthrough Award 2021 for Best Electronic Health Record Service 🏆🎉 ✅ During Apple's recent worldwide developer conference, it was announced that DrChrono will be among the first to support iOS 15 feature allowing patients to share Apple Health App data with providers! 🤩 Our products can be completely tailored to any medical practice—small, large, or specialty—and are open to third-party innovation via a robust API. Our people and the enthusiasm for healthcare is contagious. We’re one of the most tech-forward healthcare players in the EHR industry and our philosophy “more time with patients, less time doing paperwork” drives constant innovation throughout the company. We’re seeking a Sr. Product Manager, Data Analyst to dig into our product usage information to identify the most efficient way to display data to our users. This role will work closely with our Product and engineering teams to execute on projects based on what’s identified by internal and external stakeholders. To do well in this role you will need a very fine eye for detail, experience analyzing and applying data insights, and a deep understanding of the popular analytical tools and approaches. What you'll do...
You have...
Remote Work Statement We've moved forward with a remote-first approach. This means current and new DrChrono employees will always be allowed to work remotely, regardless if they were hired onsite or offsite pre-Covid19. We are committed to providing all employees with the necessary tools and support to perform their work from home without any disruption
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Data Engineering Manager |
manager engineering manager data science aws | Jun 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. What you'll do Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You would be helping to grow the data engineering team which builds technology for developers to use. Developers across the organization rely on data to accomplish their goals, and you will lead the team building libraries, utilities, and services to help developers more readily access, understand, and benefit from our data. Depending on the project, this might involve collaboration with the Data Science and Content Engineering teams to identify business-critical Hive tables, or working with Core Platform to suggest better approaches for scaling streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal engineering customers of Scribd data. Required Skills • Strong written and verbal communication skills (we're remote!) • Ability to develop software, whether scripts for shuffling data around, batch tasks, or stream processing units. • Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem • Mentoring skills and experience training and educating teammates or colleagues. • Fluency with at least one dialect of SQL (MySQL and Hive preferred) Desired Skills • Streaming platform experience, typically based around Kafka, Spark, Storm, Beam, • Strong understanding of AWS data platform services and their strengths/weaknesses. • Opinions on what data integrity means and how to scale it up the organization 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 Account Executive - Netherlands |
senior executive data science big data | Jun 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 Senior Account Executive to join our sales team in Amsterdam. Since the launch, we have experienced a strong product market fit and steady market demand. Thanks to our expanding business, we have created a new position for an individual to have responsibility for an extensive territory. We’re looking for someone who can express passion about the new technologies and possibilities of Big Data and Advanced Analytics. The role consists of engaging prospects and customers on the topic of their Data and Advanced Analytics initiatives and to help them develop a more efficient approach, leveraging our platform. The Account Executive is responsible for the entire sales cycle, with the goal of delivering a successful partnership with the prospect, by leveraging various company resources, to reach a successful collaboration with the prospect. Dataiku is a young company with great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. You might be a good fit if you have:
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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Lead Software Engineers |
typescript javascript react scala swift data science | Jun 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We are working remotely and are open to candidates working from anywhere in the US or Canada. Our office in New York's Flatiron district is available for anyone based in NY. We're looking for lead full-stack software engineers to join and lead our teams in delivering world-class digital products for companies such as adidas, ViacomCBS, HBO, Rovio, and Finnair. We need people that are deeply knowledgeable and passionate about technology, are able to consult clients about their core business challenges, and can come up with the right solutions with their teams. What we can offer you:
At Reaktor USA, our benefits and perks evolve with our community, and we're always open to new ideas that will support the wellbeing of Reaktorians. Currently, we offer the following perks:
P.S. Listen to our new podcast Fork Pull Merge Push.
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Data Scientist - Amsterdam |
python data science machine learning big data cloud frontend | Jun 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. We're looking for a Data Scientist to join Dataiku in our office in Amsterdam. Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it! As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, it's installation and configuration, to training users and co-developing data science applications, from design to deployment. You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases. Our ideal candidate is comfortable learning new languages, technologies, and modeling techniques while being able to explain their work to other data scientists and clients. What You'll Do:
Who You Are:
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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Program Manager, Member Experience and Engagement |
manager data science healthcare | Jun 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 partner with people we love for a cause we believe in. Life is short. Join us." Waltham MA or Remote - Must work east coast hours A bit more about this role: Our Member Experience & Engagement team is entrusted with architecting and executing on key elements of our mission. The team is responsible for ensuring a consistent experience across member touch points while making sure that we deliver on our promise of a coordinated and easy member experience. And that starts with how we engage with and design experiences for members in the earliest stage of their journey — right when they join Devoted. As a Program Manager, you’ll focus on the design, implementation, and evaluation of programs/initiatives to maximize member retention from members who join Devoted via third party broker channels. This role is critical in ensuring a consistent member experience — and needs a unique approach. It will be an amazing opportunity to work at the intersection of customer engagement, sales operations, customer service, compliance, marketing, and technology — at the very heart of our strategy. Responsibilities will include:
Attributes to success:
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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Program Manager, Member Experience and Engagement |
manager data science healthcare | Jun 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 partner with people we love for a cause we believe in. Life is short. Join us." Waltham MA or Remote - Must work east coast hours A bit more about this role: Our Member Experience & Engagement team is entrusted with architecting and executing on key elements of our mission. The team is responsible for developing outbound member communication campaigns from concept through execution across channels (SMS, email, mail, voice) ensuring that we deliver on our promise of a coordinated and easy member experience. Foundational to this strategy is an understanding of health literacy, health communication, behavior change, and digital strategy to deliver clear and actionable health campaigns. Our ability to meaningfully connect with members — wherever they are on their healthcare journey — will drive our success in creating a loved consumer brand unique in the industry. This role will primarily be responsible for working with clinical teams across the organization to design, execute, and identify new opportunities for high-impact, proactive member engagement strategies to drive behavior change, influence key clinical outcomes, and increase member acceptance for care management programs. This role will be an amazing opportunity to work at the intersection of health communication, care and disease management, customer service, member experience, and technology — at the very heart of our strategy. Responsibilities will include:
Attributes to success:
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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Data Lead for Global Public Health |
node-js aws couchdb postgresql devops data science | Jun 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We’re looking for a (normal-to-big) data engineer to help us build and maintain our suite of country-scale logistics and program intelligence systems for distributed, occasionally-connected contexts. Our ideal data engineer will be an experienced cross-functional collaborator and able to contribute to: Data analysis environments - At Field, data drives all aspects of business, and your role will be to design and build the tools to ensure data science, management and engineering all have the tools and services they need to consume and manage it. Data infrastructure - Working with our engineering team, your job will include driving database optimisation and data architectures to expand our data warehousing, analysis and pipeline architecture. Data driven products - As part of a multi-disciplinary team you will help investigate internal data consumers' needs and design solutions to provide flexible, transparent, reliable tools and environments for data management and analysis. Data analysis - Diving into our trove of near-realtime data, and perform robust investigative analyses to drive business results in fields such as supply planning, demand planning and anomaly detection. You will work closely with other engineers and product teams in Berlin and Nigeria, supporting each other and collaborating through frequent architecture and code reviews and strong adherence to best practices, as we develop tools to shape health supply chains at scale in some of the fastest growing places in the world. Responsibilities
Required
Bonus
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Software Engineer |
python kubernetes react-js aws machine-learning javascript | Jun 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We’re looking for an experienced Full Stack Software Engineer to join the rapidly growing team in our University of Oxford machine learning start-up. We are a group of passionate and highly skilled individuals working together to achieve our vision of a future where AI and Humans collaborate to solve the world’s most important problems. Location: We’ve been working successfully as a fully remote team during the pandemic and are open to this role being remote (within a (+/- 2hrs GMT), part-remote or office based as well as offering flexible working options. It is likely that many of our staff will choose to remain as remote workers going forward and so we are able to offer a fully inclusive and integrated team to anyone opting for a remote role. ABOUT YOU Your passion for software engineering and product development will allow you to thrive in our start-up environment. Our collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving us forward to make our vision a reality. ABOUT THE ROLE You’ll be responsible for driving software engineering best practice at all times. Designing and developing features across all levels of web-based systems (full-stack) and rapidly prototyping, exploring and testing ideas. It will involve building and iterating on new features with users to help solve real problems. We understand that there may not be such a thing as ‘the perfect candidate’ and no single person can do it all. However, if this sounds like you, or what you believe you can achieve, and you're looking for somewhere you can thrive, we would love to hear from you. WHAT YOU’LL NEED
GREAT TO HAVE
WHAT’S IN IT FOR YOU? You’ll enjoy a competitive compensation package, an awesome work environment in Summertown (Oxford, UK), if that’s where you choose to work from full or part of the time (or remotely). We have a strong social scene, even if by Zoom, and some of us can't wait to get back to our face to face team lunches, pub Wednesday's, office snacks and our sorely missed coffee machine, however we also offer great benefits such as:
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AI Strategist - Evangelist |
data science machine learning | Jun 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Evangelist and AI Strategist team is at the beginning of this journey, explaining, educating on the business value generated by this transformation. At Dataiku, we all have customer's best interest always in mind, and as an evangelist this is one of your priorities. Listen, understand and help them identify innovation opportunities using Machine Learning and Artificial Intelligence. Responsibilities:
Core skills and talents:
Qualifications:
#LI-Remote 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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AI Strategist - Evangelist |
data science machine learning | Jun 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Evangelist and AI Strategist team is at the beginning of this journey, explaining, educating on the business value generated by this transformation. At Dataiku, we all have customer's best interest always in mind, and as an evangelist this is one of your priorities. Listen, understand and help them identify innovation opportunities using Machine Learning and Artificial Intelligence. Responsibilities:
Core skills and talents:
Qualifications:
#LI-Remote 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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Marketing Analytics Intern |
python data science | Jun 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 a Marketing Data Analyst Intern to join our Marketing Machine team in Paris. Our Marketing Machine team is responsible for marketing tooling, analytics, websites, as well as enabling the Marketing team in their everyday work. Working alongside the Marketing Analytics Project Manager, you will play a central role to deliver data-driven insights and data products to the Marketing team. You will also support the full organization to leverage data produced by marketing activities and operationalize it. The ideal candidate is naturally curious, has a sharp analytical mind and good verbal and written communication skills, a strong interest in data and related technologies, and a positive attitude towards work. What you will do:
You might be a good fit if...
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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Software Engineer, Recommendations |
ruby data science testing frontend | Jun 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. About the Role •Working within our Ruby on Rails codebase for serving recommendations to the web and mobile applications. This includes aggregating recommendations from multiple sources and then filtering/ranking them based on contextual data. •Implementing projects considering quality, maintainability, performance, scale, and observability throughout the development process and in production. •Writing clear technical documentation based on the project proposals. •Using our NWay testing framework for product development, especially in collaboration with our product and front-end teams. Minimum Requirements •Bachelor's or higher in mathematics, computer science, physics, or equivalent experience •2+ years experience in software engineering •Strong comprehension of data structures and algorithms with a focus on applied problem solving •Experience with a web application framework (Ruby on Rails, Spring, Django, Flask, or a comparable framework) •Experience shipping production-level, clean, maintainable code •Experience working with scalable, reliable and high availability services •Ability to communicate effectively and proactively with the team and stakeholders •Ability to work collaboratively on cross functional teams with product, data science and other engineering teams •Recommendations experience is a plus 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, Recommendations |
senior ruby scala data science | Jun 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. About the Role • Working within our Ruby on Rails codebase for serving recommendations to the web and mobile applications. This includes aggregating recommendations from multiple sources and then filtering/ranking them based on contextual data. •Helping maintain and improve our graph of Spark (Scala) applications, which are responsible for aggregating interactions and generating new recommendations. •Leading and implementing projects considering quality, maintainability, performance, scale, and observability throughout the development process and in production. •Improving or building solutions that address our architectural gaps and technical debt. •Advising on technical designs, reviewing code, participating in interviews and mentoring junior team members. •Collaborating with our product and data teams to analyze data and plan a course of action. •We are building our recommendations platform into a service oriented architecture to support the growth of our business. You will have the opportunity to influence the way we build our platform which helps in having shorter iterations on feature development which has a direct impact on growth and revenue. Minimum Requirements •A bachelor or masters degree in computer science or related field •5+ years of industry experience on large scale distributed systems •Strong experience with a web application framework (Ruby on Rails, Spring, Django, Flask, or a comparable framework) •Strong experience with a big-data processing engine (Spark, MapReduce, Flink, or a comparable engine) •Strong SQL skills and the ability to evaluate and own large and complex datasets •Experience working within a service-oriented environment •Ability to communicate effectively and proactively with the team and stakeholders •Ability to work collaboratively on cross functional teams with product, data science and other engineering teams •Recommendations experience is a plus •Experience decomposing a monolithic application into services is a big plus 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 Backend Software Engineer |
php sql express node-js aws backend | Jun 02 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Your mission Are you interested in the circular economy and battery technology? At Circunomics, as a Backend Developer (f/m/d), you will be part of our team responsible for designing and implementing components of our cloud-based data analytics platform. This includes, among other things, the specification and implementation of various APIs, backend microservices, and deployment to our cloud infrastructure. Your profile
You get bonus points for:
Why us?
About Us Circunomics is a cloud-based platform for the Circular Battery Economy.
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Cloud Architect - Germany |
cloud data science big data linux aws azure | Jun 02 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 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 and run their Data Science and AI Enterprise Platforms. This role requires 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 can be remote in the UK, Germany, Netherlands, France, Spain, Ireland and Ukraine. Responsibilities
Requirements
Bonus point 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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Senior Data Scientist, Product Analytics |
senior data science saas | May 31 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 helps teams everywhere change the world and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionising the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity! Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company? Atlassian is looking for a Senior Data Scientist to join our Product Analytics team in Sydney, Australia. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to drive smarter product decisions and ultimately, delight our customers. You’ll be part of Atlassian’s multi-discipline Agile product organisation whose mission is to enable our customers to connect every dimension of their work with greater visibility, organisation, and impact through our industry leading Jira Software. In this role, you'll get:
On your first day, we'll expect you to have:
It's great, but not required if you have:
More about the team The Product Analytics team’s mission is to improve every decision in the product. We work across the entire build-measure-learn cycle of product development. We inform high level strategy by analysing the business. But we also drive insights from user behavioural data and seek to make a positive impact on the way our customers use our products in their day-to-day work. We are a highly collaborative team with a high bar of rigorous analyses, and we love to have fun along the way. 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. If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Data Scientist - New York |
python javascript data science machine learning cloud | May 28 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. In this role you'll help the team:
You might be a good fit for the role if you have:
Technical skills that may help you in the role:
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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Data Scientist - Denver |
python javascript data science machine learning cloud | May 28 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. In this role you'll help the team:
You might be a good fit for the role if you have:
Technical skills that may help you in the role:
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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Data Operations Manager |
manager java scala data science aws testing | May 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Overview: Data observability within Scribd is a key focus for your work in our existing data infrastructure. The Data Operations team works with product and engineering to identify what pipelines are important, and together build process, tools, and technology to ensure that downstream consumers can trust our data, Depending on the project, this might involve collaboration with the Data Science or Content Engineering teams to build business-critical pipelines, or working with Business Analytics team to help design data models used for business insights. You would continue to build the Data Operations team as the organization grows. As the Data Operations leader for Scribd, everything you do directly supports our internal stakeholders while helping to grow and understand our business. What you'll do • Work largely with Business Analytics, Finance, and other stakeholders including engineering teams. • Assume responsibility for business critical pipelines and the quality of data they generate • Build a team capable of acting as internal support for higher-level (non-engineering) uses of the data platform • Lead the team to adopt and ingest newer data sets to continue to power the business as needs change Required Skills • Strong written and verbal communication skills (we're remote!) • Strong experience with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations • Working knowledge of Looker, Tableau, Power BI, or some other Business Insights system. • Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem • A history of working with cloud-based data platforms. • Strong operational background with experience building and supporting always-on production data platforms. • Ability to manage multiple projects simultaneously while driving projects to completion on time and within budget • Experience writing complex SQL and data modeling Desired Skills • Streaming platform experience, typically based around Kafka. • Spark, Storm, Beam • Strong understanding of AWS data platform services and their strengths/weaknesses. • Experience with Java, Scala, or Python • Thoughts on the tradeoffs between "traditional" data warehouses, data lakes, and other large-scale data organization approaches. • Opinions on what data governance means and how to scale it up the organization 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 People Systems Analyst |
senior data science | May 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, 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 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. The Senior People Systems Analyst will be the lead for Payroll, Absence and Time Tracking, which includes system configuration, enhancements, and deployment efforts. This person will manage absence plans, pay components, and be on the front lines for all inquiries related to payroll and absence management. What You'll Do
Who You Are
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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Senior People Systems Analyst |
senior data science | May 25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 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. The Senior People Systems Analyst will be the lead for Payroll, Absence and Time Tracking, which includes system configuration, enhancements, and deployment efforts. This person will manage absence plans, pay components, and be on the front lines for all inquiries related to payroll and absence management. What You'll Do
Who You Are
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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Software Engineer |
react-js python postgresql kubernetes node-js machine learning | May 25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We’re looking for an experienced Software Engineer (Machine Learning) to join our rapidly growing University of Oxford company in our Engineering team. We are a group of passionate, skilled and inquisitive individuals working together in an open, transparent and fun environment, where contributions are encouraged and valued to help achieve our vision of a future where AI and Humans work together to solve the world’s most important problems ABOUT YOU Your passion for software engineering and product development will allow you to thrive in our fast-paced start-up environment. Our collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving us forward to make our vision a reality. ABOUT THE ROLE You will be responsible for driving best practice in how the team integrates and maintains machine learning. Our teams own their code, from design through deployment and into operation, so your work will have real impact. You will also play a significant role in the wider development process, including contributing to discussions on designs and ways on improving the team. Our current stack is in Python and Node for the backend, with Typescript and React for the frontend, all deployed within Kubernetes. LOCATION RESPONSIBILITIES:
WHAT YOU'LL NEED
GREAT TO HAVE:
WHAT’S IN IT FOR YOU? You’ll enjoy a competitive compensation package, an awesome work environment in Summertown (Oxford, UK), if that’s where you choose to work from.We also offer great benefits such as:
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This Year
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Sales Engineer - Southeast |
java data science machine learning cloud azure | May 24 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. If you're ready to take your pre-sales career to the next level, the Dataiku US Southeast Machine Learning Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success. In this role, you'll help the team:
You may be a good fit for the team if you have:
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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Senior Backend Software Engineer |
go docker postgresql backend senior data science | May 24 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Role 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:
About Team Go We use technology to inspire and empower humanity, and to enrich real-life relationships withfriends, family, and community because we believe in a world where social technology unites usand makes us happier. We started on this mission by putting together a team of people to fixsocial isolation and bring people together to do things they love.By looking at how people make plans with one another, we built the Go app around peoples’existing behaviors: sharing plans with our friends, inviting friends to collaborate, finding time tohang out, and the last (best) part: making it all happen in real time, in real life. We also want the local businesses in your community to be part of the conversation, whichsupercharges the Go app and helps you find what you love to do and do it with the people youalready know.
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Enterprise Account Executive - Southeast |
executive data science big data | May 21 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 Account Executive to join our team and cover the Southeast. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion. We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Southeast region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our product, Dataiku. The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. You might be a good fit if you have:
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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Enterprise Account Executive - Southeast |
executive data science big data | May 21 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 Account Executive to join our team and cover the Southeast. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion. We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Southeast region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our product, Dataiku. The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. You might be a good fit if you have:
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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Senior Manager Data Engineering |
senior manager data science aws | May 17 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. What you'll do Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You would be helping to build the data engineering team, and would work with product teams to clarify what data pipelines are important, and then work with them to build process, tooling, and technology to ensure that downstream customers can trust the data they're consuming. Depending on the project, this might involve collaboration with the Data Science and Content Engineering teams to identify business-critical Hive tables, or working with Core Platform to suggest better approaches for scaling streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal customers of Scribd data. You'll have (Requirements) • Strong written and verbal communication skills (we're remote!) • Strong mentoring skills and experiencing training and educating teammates or colleagues. • Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem • Experiencing structuring large scale datasets in S3. • Fluency with at least one dialect of SQL (MySQL and Spark SQL preferred) • Ability to develop software, whether scripts for shuffling data around, batch tasks, or stream processing units. Nice to Have (Bonus Points) • Streaming platform experience, typically based around Kafka, Spark, Storm, Beam • Working knowledge of how to build, train, and deploy ML models. • Strong understanding of AWS data platform services and their strengths/weaknesses. • Opinions on what data integrity means and how to scale it up the organization. • Working knowledge of Sqoop, Hive, Impala, and HDFS 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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Software Engineer |
go kubernetes javascript elasticsearch vue-js golang | May 17 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We are seeking a talented software engineer to join our newly formed engineering team. Our organization is building tools for data collection, processing, and visualization to serve the needs of Parenthetic's communications analysts. An ideal candidate will have experience working across the stack, from building UIs to deploying APIs on k8s. You will be responsible for building prototype products, developing interfaces for internal and external customers, creating roadmaps, and refining our architecture. As this is a new team, we are looking for candidates who are willing to help grow the organization by taking on a range of responsibilities across the technical spectrum and are interested in learning new skills. Responsibilities
Requirements The position may require occasional on-site work in Northern Virginia for team and client meetings.
Preferred Qualifications
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Business Development Representative - Nordic Region |
data science big data | May 17 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 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 results-driven and hands-on Business Development Representative to lead Dataiku business development activities. Located in London, your role will be to identify and qualify new sales opportunities to grow Dataiku sales for the Nordics markets. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We need a self-starter motivated to constantly improve and optimize the process to drive performance. WHAT YOU'LL DO:
WHO YOU ARE:
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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Product Lead / Senior Product Lead - Health Plan and Insurance Pricing |
senior data science healthcare | May 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Our health system is broken, and it’s a huge problem. Costs are rising out of control while the patient experience gets worse. At Sana, we're passionate about fixing this problem by bringing accessible and affordable health plans to small and medium businesses. We've built an innovative team with top talent from across the health insurance and tech industries to create engaging, modern plans for our clients. This allows our customers to offer competitive benefits packages while paying an average of 20% less than traditional plans. At Sana Benefits, we are building an integrated health plan centered on accountable primary care, consumer advocacy and digital care delivery to achieve superior consumer experience, better health and lower costs. And reimagining pricing, benefit design and administration of health benefits are foundational to this mission. As our business continues to grow, so will the opportunities to innovate, automate flexibility and scale our infrastructure, platforms and data science. We are looking for a brilliant Technical Product Manager to be responsible for product performance, development of a product roadmap, and execution of strategic initiatives. You’ll collaborate with actuarial, underwriting, plan administration, sales, marketing, product, design, engineering and data science to deliver technology that our internal teams can delightfully and efficiently use to deliver innovative products at scale. What you will do
About you
About Sana Sana is a modern health plan solution for small and medium businesses. We use a more efficient financing structure and integrated technology solutions to cut out wasteful spending and get members access to better quality care at lower cost. Founded in 2017, we are an experienced team of engineers, designers and health system operators. We have the financial backing of Silicon Valley venture firms and innovative reinsurance partners. If you are excited about building something new and being a part of fixing our broken healthcare system from the inside, please reach out!
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Software Engineer |
python kubernetes react-js aws postgresql javascript | May 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We’re looking for an experienced Software Engineer to join the rapidly growing team in our University of Oxford machine learning start-up. We are a group of passionate and talented individuals working together to achieve our vision of a future where AI and Humans collaborate to solve the world’s most important problems. Location: We’ve been working successfully as a fully remote team during the pandemic and are open to this role being remote (within a (+/- 2hrs GMT), part-remote or office based as well as offering flexible working options. It is likely that many of our staff will choose to remain as remote workers going forward and so we are able to offer a fully inclusive and integrated team to anyone opting for a remote role. ABOUT YOU Your passion for software engineering and product development will allow you to thrive in our start-up environment. Our collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving us forward to make our vision a reality. ABOUT THE ROLE You’ll be responsible for driving software engineering best practice at all times. Designing and developing features across all levels of web-based systems (full-stack) and rapidly prototyping, exploring and testing ideas. It will involve building and iterating on new features with users to help solve real problems. We understand that there may not be such a thing as ‘the perfect candidate’ and no single person can do it all. However, if this sounds like you, or what you believe you can achieve, and you're looking for somewhere you can thrive, we would love to hear from you. WHAT YOU’LL NEED
GREAT TO HAVE
WHAT’S IN IT FOR YOU? You’ll enjoy a competitive compensation package, an awesome work environment in Summertown (Oxford, UK) for those who choose to be office/part-office based. We have a strong social scene, even if by Zoom, and some of us can't wait to get back to our face to face team lunches, pub Wednesday's, office snacks and our sorely missed coffee machine, however we also offer great benefits such as:
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Analytics Product Manager Intern |
manager product manager python data science big data cloud | May 13 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Couchbase is looking for a technical product management intern who is driven, technologically savvy, and is motivated by the opportunity to wear multiple hats. In this role, you’ll support the product management team to focus on leading edge document database analytics. You’ll partner with marketing, engineering, field sales to perform research and competitive analysis as well as setup technical capabilities of our latest product features. Additionally you will develop skill sets around product requirements, learn cloud storage and analytics and make recommendations to the product team on your findings. This role provides the chance to learn from some of the best, and have direct business impact. Responsibilities
Preferred Qualifications
About Couchbase Couchbase's mission is to be the platform that accelerates application innovation. To make this possible, Couchbase created an enterprise-class, multi-cloud NoSQL database architected on top of an open source foundation. Couchbase is the only database that combines the best of NoSQL with the power and familiarity of SQL, all in a single, elegant platform spanning from any cloud to the edge. Couchbase has become pervasive in our everyday lives; our customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names. Couchbase’s HQ is conveniently located in Santa Clara, CA with additional offices throughout the globe. We’re committed to a work environment where you can be happy and thrive, in and out of the office. At Couchbase, you’ll get: * A fantastic culture * A focused, energetic team with aligned goals * True collaboration with everyone playing their positions * Great market opportunity and growth potential * Time off when you need it. * Regular team lunches and fully-stocked kitchens. * Open, collaborative spaces. * Competitive benefits and pre-tax commuter perks Whether you’re a new grad or a proven expert, you’ll have the opportunity to learn new skills, grow your career, and work with the smartest, most passionate people in the industry. Revolutionizing an industry requires a top-notch team. Become a part of ours today. Bring your big ideas and we'll take on the next great challenge together. Check out some recent industry recognition: Want to learn more? Check out our blog: https://blog.couchbase.com/ Couchbase is proud to be an equal opportunity workplace. Individuals seeking employment at Couchbase are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
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Senior Backend Engineer, Growth |
backend senior java python javascript data science | May 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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: DELIVER MEASURABLE IMPACT ITERATIVELY AND WILL WORK ON QUALITATIVE AND QUANTITATIVE DATA. DRIVE FEATURE DELIVERY END TO END AND PIVOT THESTRATEGY. UTILIZE COMPANY’S SEGMENTATION PLATFORM TO DELIVER TARGETED EXPERIENCES. WORK WITH MULTIPLE TEAMS AND ACROSS A BROAD RANGE OF TECHNICAL STACKS AND UTILIZE JAVA AND ITS ECOSYSTEM TO BUILD THE SOFTWARE PRODUCT AND SERVICES THAT PROVIDE BEST IN CLASS CUSTOMER EXPERIENCE. WORK ON SOFTWARE AS A SERVICE (SAAS), PLATFORM AS A SERVICE (PAAS), AND INFRASTRUCTURE AS A SERVICE (IAAS) INDUSTRY, PUBLIC CLOUD OFFERINGS (E.G., AWS, GAE, AZURE). WORK WITH STRUCTURED QUERY LANGUAGE (SQL) AND A/B TESTING. LIAISE WITH MARKETING, PRODUCT, PLATFORM AND DATA SCIENCE TEAMS. MINIMUM REQUIREMENTS: MASTER’S DEGREE IN COMPUTER SCIENCE OR COMPUTER ENGINEERING OR CLOSELY RELATED FIELD AND 2 YEARS’ EXPERIENCE IN SOFTWARE DEVELOPMENT USING A MODERN, OBJECT ORIENTED PROGRAMMING LANGUAGE, SUCH AS C++, PYTHON, JAVA, JAVASCRIPT OR TYPESCRIPT AND WORKING WITH CROSS-FUNCTIONAL TEAMS ACROSS DIFFERENT PARTS OF THE ORGANIZATION, INCLUDING OTHER ENGINEERING TEAMS AND PRODUCT MANAGEMENT, WITH AT LEAST 2 YEARS’ EXPERIENCE LEADING PROJECTS WITH A SMALL TEAM OF ENGINEERS THROUGH THE SOFTWARE DEVELOPMENT LIFECYCLE FROM INCEPTION TO COMPLETION AND RELEASE. ALTERNATE REQUIREMENTS: BACHELOR’S DEGREE IN COMPUTER SCIENCE OR COMPUTER ENGINEERING OR CLOSELY RELATED FIELD AND 5 YEARS’ EXPERIENCE IN SOFTWARE DEVELOPMENT USING A MODERN, OBJECT ORIENTED PROGRAMMING LANGUAGE, SUCH AS C++, PYTHON, JAVA, JAVASCRIPT OR TYPESCRIPT AND WORKING WITH CROSS-FUNCTIONAL TEAMS ACROSS DIFFERENT PARTS OF THE ORGANIZATION, INCLUDING OTHER ENGINEERING TEAMS AND PRODUCT MANAGEMENT, WITH AT LEAST 2 YEARS’ EXPERIENCE LEADING PROJECTS WITH A SMALL TEAM OF ENGINEERS THROUGH THE SOFTWARE DEVELOPMENT LIFECYCLE FROM INCEPTION TO COMPLETION AND RELEASE. 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. If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Partner Manager - West |
manager data science cloud | May 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, 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. We are looking for a sharp, highly motivated Partner Manager based in the western US to manage and scale our ecosystem of system integrator, consulting and technology partners in the region. Your main objective will be to drive field engagement with our partner ecosystem to deliver joint customer success and grow Dataiku’s market presence in the region. You’ll work closely with our field sales, marketing, and customer success teams and our partners to build, position, and deliver analytic solutions that deliver material business value to our joint customers. This is an opportunity to be part of an all-star team at the center of a strategic initiative focused on fueling Dataiku’s growth. You will be responsible for recruiting, onboarding, and enabling partners and managing go-to-market programs and field execution with our sales teams to deliver innovative AI solutions and grow our community of raving fans. A proven creative, organized, collaborative approach to work will set you apart from your peers. You might be a good fit if you have/are:
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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Data Scientist - Central |
python javascript data science machine learning cloud | May 07 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. In this role you'll help the team:
You might be a good fit for the role if you have:
Technical skills that may help you in the role:
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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Senior Data Scientist, Product Analytics |
senior python data science saas devops | May 06 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 get excited by the challenge of scaling a fast-growing company by powering it with data? Are you intrigued by the ever-evolving landscape of workplace collaboration products? Using your eye for business and creative problem solving, you will build data products and generate insights that will allow our business and product leaders to make better-informed decisions. We’re growing fast, so there’ll be tons of opportunities for you to make an impact and take charge of the direction of your work. Product Analytics at Atlassian is multidisciplinary. The flawless teammate is someone who has the skills to surface insights quickly, and communicate those insights in a way that persuades action by senior leaders, product managers, designers, marketers and engineers. You'll use SQL, R, and/or Python often, but you won't be at your desk all day. Part of your job is to improve the data literacy of your product team, teaching people when, where, and how to harness the data available. You’ll be working within our JSM Product Analytics team collaborating primarily with the Jira Service Management (Sydney, Bangalore and Ankara) teams. These teams are working to build and develop Atlassian products to unleash the potential of Customer’s DevOps and ITSM teams!! On your first day, we'll expect you to have:
It's great, not required, if you have:
More about our team The Product Analytics team’s mission is improve every decision in the product. We work across the entire build-measure-learn cycle of product development. We inform high level strategy by analysing the business. But we also drive insights from user behavioural data and seek to make a positive impact to the way our customers use our products in their day-to-day work. We are a highly collaborative team with a high bar of rigorous analyses, and we love to have fun along the way. 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. If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Data Analyst, Marketing Research |
senior python data science machine learning testing api | May 06 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 1800 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 Kraken’s Brand. 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 Brand & Marketing, 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. If you are an experienced data detective who is passionate about creating world class data-driven marketing 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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Marketing Content Manager |
manager data science | May 06 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku is looking for a Marketing Content Manager to assist in building, launching, managing, and optimizing campaigns around marketing assets. Responsibilities
Requirements
You are our ideal candidate if you:
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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Commercial Customer Success Manager |
manager data science | May 06 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. We have Customer Success & Implementation (CSI) professionals in the field implementing and supporting a technical, complex solution to a variety of customers each with different initiatives and challenges. Reporting to the Customer Success Director, the job of the Commercial CSM is responsible for serving a portfolio of small and medium accounts, as well as to work with other CSMs on their own portfolio. This includes building account Success Plan, helping identify and document use cases, and focusing on customer utilization. The ideal candidate is naturally curious, has excellent verbal and written expression skills, a sharp analytical mind, and has a strong interest in data science. The candidate will be organized, results-driven, and efficient. What You'll Do:
You might be a good fit for the role if you have/are:
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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Technical Lead, Operations |
javascript html css data science testing react-js | May 05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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YOUR MISSION: Your mission is to lead the development of our operations portals that allow managing exceptional conditions and provide insights to our operations center. We are on a mission to optimize the roadside assistance service using data science, and minimize call center interactions. This means you will own the feasibility, delivery and service quality of the operations portals and the support. You’ve seen this problem before and solved it at past companies, and have solved such problems using micro apps architecture. You are now looking for an opportunity to leverage all your experiences and expertise to take our product to the next level, working in partnership with Operations Product Manager. YOUR LEGACY: Your legacy will include ensuring that every Urgently team across our growing organization is able to use and extend the Operation Portals in days, and are able to assess the quality and performance of the portals in real time. The result? You helped Urgently become the world’s leading mobility assistance company. WHAT YOU’LL BE RESPONSIBLE FOR: 1) First 2 months: Understand our platform development environment and philosophy. Understand how our current Operations Portals work and the mission of it. 2) First 6 months: Take over the development of Operation Portals. Develop the next generation of the Operation Portal architecture, using Micro Apps approach, with in built experimentation testing (A/B/N testing).. Work with the platform team to integrate services, tracing and monitoring. 5) Ongoing... Optimize the code, ensure best coding practices are followed, and support the existing team in their technical hurdles. Monitor and support the Operation portals in the field. Qualifications
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! 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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Data Engineering Team Lead |
python data science big data linux cloud | May 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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At Density, we build one of the most advanced people sensing systems in the world. 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. We build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people. Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later. Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system. We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly. This role reports to our Director of Data Science & Engineering. This is a hands on technical role with a management track. As the Data Engineering Team Lead at Density, you will help build out and lead a team of Data Engineers to provide ETL pipelines and infrastructure for core product Data Science capabilities at a fast paced startup in growth mode. In this role you will:
The ideal candidate will have:
Bonus points if you:
What we bring:
We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.
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Cloud Architect - Remote |
cloud data science big data linux aws azure | May 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 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 and run their Data Science and AI Enterprise Platforms. This role requires 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 can be remote in the UK, Germany, Netherlands, France, Spain, Ireland and Ukraine. Responsibilities
Requirements
Bonus point 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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Cloud Architect - Amsterdam |
cloud data science big data linux aws azure | May 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 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 and run their Data Science and AI Enterprise Platforms. This role requires 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 based in Amsterdam and can be considered in remote. Responsibilities
Requirements
Bonus point 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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Analytics Engineer |
python data science | May 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Democratic National Committee’s Tech team is hiring an Analytics Engineer to clean, repackage, build pipelines for, and analyze real-time data to help Democrats win elections and to empower progressives across the country. Who We Are: We are a fully remote, distributed team living in 19 states and from a variety of backgrounds. Some of us have worked in political campaigns, others in public sector tech, and others in industry. We value diversity in perspective, lived experience, and the many paths one may take into working in political technology. We believe deeply in the promise of breaking the boom-bust cycle of political tech work and building technology infrastructure that will support campaigns from cycle to cycle and will improve with every iteration. Who You Are: We're focused on equipping Democratic candidates and campaigns around the country with the data and analytics resources they need to win, and are looking for Analytics Engineers with a diverse range of backgrounds and skill sets to help us tackle numerous projects. Whether 2020 was your first time volunteering for a campaign or you've been working with electoral data teams for multiple cycles, we'd love to talk to you. Good candidates are willing to get nerdy about the details while staying focused on our goal of electing Democrats. On a day-to-day basis, our team cares about things like geocoding polling places, tracking Census Bureau data releases, assessing phone number quality, and promoting inclusive labeling practices, to name a few. Among other things, in this role you could help us:
What makes you right for this role (good candidates might check many of these boxes, but don’t let this list stop you from applying):
Applications will be considered on a rolling basis. This position is fully remote. The Democratic National Committee (DNC), is committed to diversity among its staff, and recognizes that its continued success requires the highest commitment to obtaining and retaining a diverse staff that provides the best quality services to supporters and constituents. The DNC is an equal opportunity employer and it is our policy to recruit, hire, train, promote and administer any and all personnel actions without regard to sex, race, age, color, creed, national origin, religion, economic status, sexual orientation, veteran status, gender identity or expression, ethnic identity or disability, or any other legally protected basis. The DNC is committed to providing reasonable accommodations to individuals with disabilities in the hiring process and on the job, as required by applicable law. The DNC will not tolerate any unlawful discrimination and any such conduct is strictly prohibited.
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Senior Software Engineer |
senior java data science cloud redis mongodb | May 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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YOUR MISSION: We are an automated dispatch platform and are on the mission to optimize the dispatching using data science. Your mission is to contribute to design and implement algorithms and business logic for the platform services that are the foundation of this platform. This means you will own the feasibility, delivery and service quality of services with your team as well as support integrations with other teams. YOUR LEGACY: Every Urgently team across our growing organization is able to use platform services in real time using APIs. They are able to assess quality and performance of the service in real time. The result? You helped Urgently become the world’s leading mobility assistance company. WHAT YOU’LL BE RESPONSIBLE FOR: 1) First 2 months: Understand our platform development environment and philosophy. Understand how our current core platform works and it’s overall mission. 2) First 6 months: Take over the development of the platform services. Extend the service cloud to integrate with partner services. Work with the data platform team to optimize the service. 5) Ongoing... Optimize various services that make up our core platform. Own the service operation and technical support Qualifications
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! 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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