UNKNOWN

FEED

By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting.

Google LLC

Senior Data Scientist, Product, Ads Privacy and Safety

As a Principal Data Scientist on Search, you will drive understanding of this rapidly evolving voice of the user to help solve complicated, broad problems that are existential to the future of Search in terms of both quality and experience. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.

Principal Data Scientist, Google Search

Our team is comprised of Data Engineers, Business Intelligence Engineers, Data Scientists, and Product Managers who take pride in building reliable, trustworthy data products that empower our stakeholders to make data-driven decisions. Successful scientists in this role deliver trusted models and analyses, improve measurement quality, communicate findings clearly to technical and non-technical audiences, and help the business move faster through data-driven insight.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Data Scientist, Fire TV

You bring strong Python and SQL, plus comfort with large datasets in a distributed environment such as PySpark on Databricks, experimentation and causal inference skills, and the judgment to know which method a question calls for, as well as feature engineering instincts for transactional data. Youll own how we time payments, sharpening how we identify a customers pay cycle and designing retry strategies that work with it rather than against it, so that more payments clear on the first attempt: fewer failed-payment fees for customers, better recovery for the business.

YEAR

Possible Financial Inc

Senior Data Scientist

Experience driving product analytics for communication, productivity, search, collaboration, or enterprise software products, with a proven ability to lead ambiguous cross-functional initiatives, influence stakeholders, communicate insights effectively, and deliver measurable business impact at scale. OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

DO WHAT YOU LOVE Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path. Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed. WHY MICROSOFT? As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting. We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference. WE GET IT – YOU’RE MORE THAN YOUR JOB Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it. GET THE BALL ROLLING

Microsoft Corp

Senior Data Scientist - Outlook Science Team

Position requires 4 years of experience in the following: Framing ambiguous business problems into tractable quantitative problems; Application of quantitative methods such as statistical and optimization; models to solve complex problems; Data extraction, manipulation, and cleaning for analysis; Python or R for statistical analysis and implementing algorithms; and Presenting and defending data-driven solutions to senior leadership. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Googles most complex and important customers and partners.

Business and Marketing Data Scientist

Demonstrated ability to structure open-ended problems, make sound methodological tradeoffs, and maintain a high bar for data quality and validation. Data science is central to how we build products, understand our customers, guide investment, manage risk, and make decisions across the business.

At Opendoor, we&rsquo;re on a mission to make it simple to buy and sell homes. The traditional process is broken, with an average home taking over 90 days to sell and costing thousands of dollars. We make buying and selling a home stress-free and instant. We&rsquo;ve built an exceptional team, have raised over $300 million from top-notch investors and are growing fast, buying and selling more than $100 million of homes per month.

Opendoor

Data Scientist

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Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Principal Data Scientist - FDE

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Senior Data Scientist - FDE

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience plus a Masters degree). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

Staff Data Scientist, Product

As a successful data scientist on our talented team of scientists and economists, you will leverage the latest technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver seller-centric experience on behalf of sour sellers. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).

Data Scientist II, Selection Growth Science

Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

Senior Marketing Data Scientist - Minecraft

You will work close to science: probing why a model behaves the way it does, pressure-testing results before they reach senior leaders, and, where it helps, building your own statistical and causal models. The Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the biggest decisions in entertainment: what content to make, what to license, and where to invest.

Data Scientist, Prime Video Science

In this role, you will partner closely with engineers, scientists, and operators to transform complex experimental and operational data (including machine telemetry, experimental results, and engineering workflows) into structured datasets, knowledge systems, and AI-enabled tools that support analysis and decision-making. Since Helions founding in 2013, we have raised $1.5 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors including Thrive Capital, LightSpeed Venture Capital, SoftBank, and others to propel us forward.

Helion Energy Inc

Senior Data Scientist - Fusion Systems

The Principal Research Scientist (Recommender systems) will lead large and complex technical projects by developing innovative machine learning algorithms and directing the work of talented Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max. The person in the role will partner closely with product, engineering, content, marketing, and research stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and to ensure delivery of impactful solutions for the business.

Warner Bros. Discovery Inc

Principal Data Scientist

Support the development and implementation of data driven solutions, with a focus on large language models (LLMs) and AI, to address business problems in Global Affairs, including providing trusted advice to policymakers, building an industry leading regulatory and compliance system, and protecting our ability to provide high quality products. Global Affairs (GA) plays a critical role in Googles priorities, including our regulatory life-cycle work, our external engagement with key stakeholders worldwide, our efforts to ensure trustworthy products, and our support of the incredible opportunities opening up in artificial intelligence and beyond.

Business Data Scientist, Global Affairs

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. This internship is intended for students in their penultimate academic year, who are pursuing a Masters degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).

Data Scientist, Product Intern, MS, Summer 2027

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San José, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. You will provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.

Business Data Scientist Intern, PhD, Summer 2027

Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location.

Nexxen International Ltd

Responsibilities: Build direct connection with sellers and understand their business needs and turn these insights into data products; Own the roadmap for a set of seller-facing analytics products, from opportunity sizing through launch; Define metrics that match how sellers think: funnel stages, category share, new-to-brand versus repeat, channel performance, etc. Collaborate with cross functional teams including data scientists, designers, data engineers, software engineers to build data products; Own the launch of data products from end to end, including driving training to account managers to better help sellers.

Data Scientist Jobs in Washington

Senior Data Scientist, Product, Ads Privacy and Safety Google LLC

Principal Data Scientist, Google Search Google LLC

Data Scientist, Fire TV Amazon.com Inc

Senior Data Scientist Possible Financial Inc

Senior Data Scientist - Outlook Science Team Microsoft Corp

Business and Marketing Data Scientist Google LLC

Data Scientist Opendoor

Principal Data Scientist - FDE Microsoft Corp

Senior Data Scientist - FDE Microsoft Corp

Staff Data Scientist, Product Google LLC

Data Scientist II, Selection Growth Science Amazon.com Inc

Senior Marketing Data Scientist - Minecraft Microsoft Corp

Data Scientist, Prime Video Science Amazon.com Inc

Senior Data Scientist - Fusion Systems Helion Energy Inc

Principal Data Scientist Warner Bros. Discovery Inc

Business Data Scientist, Global Affairs Google LLC

Data Scientist, Product Intern, MS, Summer 2027 Google LLC

Business Data Scientist Intern, PhD, Summer 2027 Google LLC

Data Scientist Nexxen International Ltd

Data Product Manager - TikTok Shop TikTok Inc

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