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Data Science Product Manager Jobs in Seattle, WA

Otter

Product Manager - Data Products

Seattle, WA · On-site

The Product Manager for Data Products will lead the development of data-driven products that ... Design, Data Science, GTM, and Customer teams to ship iteratively and learn fast. • Own the ...

Atoms

Product Manager - Data Products

Seattle, WA · On-site

As a Product Manager for Data Products, you will lead the development of tools that provide ... Design, Data Science, GTM, and Customer teams to ship iteratively and learn fast. • Own the ...

Microsoft

Principal Product Manager

Redmond, WA · On-site

Collaborate closely with engineering, data science, product management, and business development to deliver high-impact marketplace improvements. Drive alignment across teams by articulating problem ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Partner closely with Product Management, Engineering, Clinical, and Infrastructure teams to ...

Opendoor

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ... science, product analytics, or a similar quantitative role. #LI-RO The pay range for this role is ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

... measurement, and data product management, and will be enthusiastic about cutting-edge AI ... Data Science Director (IC) Responsibilities: * Collaborate with Engineering, Product, and cross ...

Databricks

Sr. Product Manager, Data Governance

Seattle, WA · On-site

$144K - $190K/yr

The Sr Product Manager for Unity Catalog will coordinate product activities from vision to ... Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance ...

OpenDoor

Data Scientist

Seattle, WA · On-site

$169.60 - $233.20/hr

Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ... data science, product analytics, or a similar quantitative role. The pay range for this role is ...

Honor

Senior Manager, Data Science

Seattle, WA

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and ... Your team will work directly with Product, Engineering, and Care Operations to turn difficult ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Seattle, WA

Data Science Product Manager information

See Seattle, WA salary details

$58.6K

$181.4K

$224.2K

How much do data science product manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science product manager in Seattle, WA is $181,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $160,500.00 and $224,200.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
What are popular job titles related to Data Science Product Manager jobs in Seattle, WA? For Data Science Product Manager jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in Seattle, WA look for? The top searched job categories for Data Science Product Manager jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science Product Manager jobs? Cities near Seattle, WA with the most Data Science Product Manager job openings:
Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $181,407 per year, or $87.2 per hour.

Principal Product Manager, Data Science & Market Research

Microsoft

Redmond, WA • On-site

$142K - $274K/yr

Full-time

Re-posted 2 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 243 rated software companies

Job description

Overview
We're building the data-driven intelligence layer for the Windows Platform & Developer team, and we're looking for a Product Manager to lead data science and market research efforts that inform platform strategy, developer ecosystem investments, and competitive positioning. This is a high-impact role at the intersection of quantitative analysis, market intelligence, and product strategy-shaping how we understand developers, track platform health, and make investment decisions for Windows.
Why Join Us?
The Windows Platform & Developer team is redefining the modern application platform for performance, security, and innovation. As the data science and market research Principal Product Manager, you'll have outsized influence on strategy by ensuring every major investment is grounded in evidence-developer telemetry, competitive benchmarks, ecosystem trends, and customer research-at a scale that touches over a billion users.
As Windows evolves into the premier place for developers to build and run apps and agents, the need for rigorous, actionable insights has never been greater. You'll define the research agenda, build analytical frameworks, and deliver the market intelligence that senior leadership relies on to set priorities across UI frameworks, developer experience & tools, AI and agentic platform, and the broader Windows ecosystem.
This role is ideal for a PM who combines deep analytical rigor with strategic product instincts and wants to directly influence the direction of the world's most widely used desktop platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Define and own the data science and market research strategy for the Windows Platform & Developer organization, aligning research priorities to business and product goals.
  • Build and maintain analytical frameworks that track platform health, developer adoption, ecosystem growth, and competitive positioning across Windows, macOS, Linux, and web/cross-platform alternatives.
  • Deliver actionable market intelligence on developer trends, framework adoption and enterprise modernization patterns.
  • Partner with engineering, product, and leadership teams to define KPIs, instrument telemetry, and build dashboards that drive data-informed decision-making.
  • Lead primary and secondary research-developer surveys, competitive analysis, win/loss studies, and ecosystem assessments-to surface opportunities and risks.
  • Translate complex data into clear, compelling narratives for senior leadership to support investment decisions, roadmap prioritization, and executive reviews.
  • Engage with developer communities, enterprise customers, ISV partners, and internal stakeholders to validate hypotheses and ground insights in real-world signals.

Qualifications
Required Qualifications:
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent 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 Qualification:
  • 8 years of experience in product management, data science, market research, or strategic analytics, preferably in a platform or developer-focused organization.
  • Solid quantitative skills with demonstrated ability to design research, analyze large datasets, and extract actionable insights.
  • Ability to translate data and research findings into product strategy and executive-ready recommendations.
  • Strong communication skills with the ability to present complex analysis clearly to technical and non-technical audiences.
  • Experience working cross-functionally with engineering, product, and business teams.
  • Experience with developer platforms, developer tools, or application frameworks.
  • Familiarity with telemetry systems, experimentation frameworks, or BI/analytics platforms (e.g., Power BI, Kusto, Azure Data Explorer).
  • Background in competitive intelligence, market sizing, or ecosystem analysis for technology platforms.
  • Understanding of the Windows developer ecosystem, including Win32, .NET, WinUI, and cross-platform frameworks.
  • Experience with data visualization and building executive dashboards that drive organizational alignment.

#W+DJOBS
Product Management IC5 - 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, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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