Data Science Manager Jobs in Washington
Data Science Manager jobs in Washington are among the most active in the country, concentrated in technology, cloud infrastructure, e-commerce, and healthcare analytics, with demand running from senior individual contributors stepping into management through seasoned directors overseeing large teams. Seattle leads hiring volume, with Bellevue and Redmond close behind, and employers like Microsoft, Amazon, and Boeing consistently seek data science managers to lead modeling, machine learning, and product analytics functions. Professionals with expertise in MLOps, applied AI, and large-scale data platform strategy are especially sought after across Washington's tech corridor. Find a role that fits below and apply directly.
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Showing 5 of 40+ Data Science Manager jobs
Want to shape the future of Copilot in Windows and bring next-generation AI experiences to hundreds of millions of people? Join us to turn data into product insights, test bold hypotheses, and drive customer and business growth.
As a Data Science Manager, you will lead a team that partners closely with Windows and Copilot product teams, translating complex data into clear product strategy and decisions throughout the lifecycle. You will guide rigorous analysis, experimentation, and predictive modeling to uncover customer needs, evaluate AI experiences, and identify opportunities to grow customer and business metrics. This opportunity will allow you to deepen your expertise in user-facing AI, strengthen your strategic and people leadership, and expand your influence across product, engineering, and business teams.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
- Lead the team in designing success metrics and building reliable, multi-functional datasets from raw data; coach team members on exploration tools and analysis best practices.
- Guide predictive and prescriptive modeling, statistical analysis, and experimentation to deliver actionable solutions and deploy evaluation results.
- Provide strategic and thought leadership by identifying usage patterns and product gaps, then translating them into growth hypotheses and experiments.
- Tell compelling stories with data to stakeholders, feature teams, and leadership, clearly communicating insights, recommendations, and business impact.
Qualifications
Required Qualifications
-
Doctorate in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, 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.
- 3+ years people-management experience.
Other Requirements
-
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Experience conducting exploratory data analysis, statistical inference, predictive modeling, including regression and classification and forecasting.
- Experience designing experiments and analyzing results to evaluate hypotheses and inform decisions.
- Demonstrated leadership in complex technical environments through critical thinking, technical expertise, clear direction, and consistent delivery of results.
- Demonstrated experience communicating complex data and analytical findings to senior leaders through clear, concise, and actionable recommendations.
#W+DJOBS
Data Science M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Want to shape the future of Copilot in Windows and bring next-generation AI experiences to hundreds of millions of people? Join us to turn data into product insights, test bold hypotheses, and drive customer and business growth.
As a Data Science Manager, you will lead a team that partners closely with Windows and Copilot product teams, translating complex data into clear product strategy and decisions throughout the lifecycle. You will guide rigorous analysis, experimentation, and predictive modeling to uncover customer needs, evaluate AI experiences, and identify opportunities to grow customer and business metrics. This opportunity will allow you to deepen your expertise in user-facing AI, strengthen your strategic and people leadership, and expand your influence across product, engineering, and business teams.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
- Lead the team in designing success metrics and building reliable, multi-functional datasets from raw data; coach team members on exploration tools and analysis best practices.
- Guide predictive and prescriptive modeling, statistical analysis, and experimentation to deliver actionable solutions and deploy evaluation results.
- Provide strategic and thought leadership by identifying usage patterns and product gaps, then translating them into growth hypotheses and experiments.
- Tell compelling stories with data to stakeholders, feature teams, and leadership, clearly communicating insights, recommendations, and business impact.
Qualifications
Required Qualifications
-
Doctorate in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, 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.
- 3+ years people-management experience.
Other Requirements
-
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Experience conducting exploratory data analysis, statistical inference, predictive modeling, including regression and classification and forecasting.
- Experience designing experiments and analyzing results to evaluate hypotheses and inform decisions.
- Demonstrated leadership in complex technical environments through critical thinking, technical expertise, clear direction, and consistent delivery of results.
- Demonstrated experience communicating complex data and analytical findings to senior leaders through clear, concise, and actionable recommendations.
#W+DJOBS
Data Science M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
See All 40 Data Science Manager Jobs in Washington
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Find Data Science Manager JobsData Science Manager Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Science Manager Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon19
- Microsoft4
- Meta2
- ExtraHop Networks2
- Amazon Web Services2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Consulting & Professional Services
- News & Publishing
What Washington Employers Look For
The qualifications that appear most often in data science manager jobs across Washington.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of data science experience including at least two years in a team lead or management role
- Demonstrated proficiency in Python, R, or SQL with hands-on experience building and deploying machine learning models
- Experience managing cross-functional data science or analytics teams in a product-driven or technology environment
- Strong background in cloud platforms such as AWS, Azure, or Google Cloud as used widely across Washington tech employers
- Ability to translate complex analytical findings into strategic recommendations for engineering, product, and executive stakeholders
Data Science Manager Jobs in Washington: Frequently Asked Questions
How do you become a data science manager in Washington?
Data science manager roles in Washington have no state-issued license or registration requirement, so the path runs through education and experience. Most hiring managers in Washington expect a bachelor's degree in a quantitative field and several years of hands-on data science work before a move into management. Washington's dense tech employer base, including cloud, e-commerce, and aerospace companies, means strong Python, machine learning, and team leadership skills carry the most weight in the application process.
Which companies hire data science managers in Washington?
Employers hiring data science managers in Washington right now include Amazon, Microsoft, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's mix of global technology headquarters, major aerospace manufacturers, and growing healthcare systems creates consistent and varied demand for data science leadership across the state.
Which Washington cities have the most data science manager jobs?
Seattle, Bellevue, and Redmond have the most data science manager openings in Washington. Seattle dominates because it is home to major technology and cloud computing headquarters, while Bellevue and Redmond draw significant hiring from Microsoft's campus and the broader Eastside tech corridor that has grown steadily around it.
Are there remote data science manager jobs in Washington?
Yes, and more than most fields. About 90% of data science manager openings tied to Washington are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed team settings. Strategic and analytical functions such as roadmap planning, model review, and stakeholder reporting tend to be the most remote-friendly, while on-site collaboration is more common when teams are embedded in hardware, operations, or lab environments.
How can I get hired as a data science manager in Washington with little or no experience?
The most realistic entry path is moving laterally from a senior data scientist or analytics lead role rather than applying to manager titles directly. Washington technology companies frequently hire senior individual contributors and offer internal promotion tracks into management, so joining as a senior data scientist at employers like Microsoft or Amazon and leading a project or mentoring junior staff builds the demonstrated leadership background hiring managers want. Completing a graduate degree, contributing to open-source machine learning projects, or earning a professional certification in cloud data platforms can also strengthen a candidacy before making the jump.
Where can I find and apply to data science manager jobs in Washington?
You can find and apply to data science manager jobs in Washington on Migrate Mate, which lists current Washington openings. Find the roles that fit your background and apply directly to the ones that match.
See All 40 Data Science Manager Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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