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Data Science Program Manager Jobs in Renton, WA (NOW HIRING)

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Writes computer programs and analyzes large datasets to uncover answers to complex problems.

Facebook App

Data Science Director

Bellevue, WA

$253K/yr

... of work experience managing analytics teams, working collaboratively with Product and ... Meta participates in the E-Verify program in certain locations, as required by law. Please note ...

Microsoft

Principal Data Scientist - FDE

Redmond, WA · On-site

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 ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Strong problem-solving and time management skills * Strong communication skills and capacity to ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Strong problem-solving and time management skills * Strong communication skills and capacity to ...

Spruce Infotech

Technical Program Manager

Seattle, WA · On-site

$146K - $190K/yr

Coordinate cross-functional teams including Product Management, Engineering, UX, Data Science ... Drive program governance, status reporting, issue resolution, and executive communications.

Microsoft

Principal Data Scientist - CoreAI

Redmond, WA · On-site

$188K - $304K/yr

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 ...

Socket.dev

Data Scientist

Bellevue, WA · On-site

$160K - $200K/yr

You'll collaborate with data science teammates, talented engineers, and product experts to produce ... Company-paid holidays The specific programs and options available will vary depending on the state ...

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Data Science Program Manager information

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$34.9K

$109.3K

$193.5K

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

As of Sep 10, 2026, the average yearly pay for data science program manager in Renton, WA is $109,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $141,200.00 per year, depending on experience, location, and employer.

What cities near Renton, WA are hiring for Data Science Program Manager jobs?

Cities near Renton, WA with the most Data Science Program Manager job openings:

Principal Data Scientist

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

Full-time

Re-posted 15 hours ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

71st of 247 rated software companies

Job description

Overview
Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.
The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.
The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.
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.
Starting August 17, 2026, Microsoft Advertising employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least 3 days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
  • Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.

Qualifications
Required Qualifications:
  • 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 Master's 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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's 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.
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
  • Experience partnering with advertising, monetization, or marketplace organizations.
  • Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
  • Experience leading analytics for large-scale consumer products with millions of users.
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights.
  • Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization.
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders.

#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization
Data Science 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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