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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About the team
Zillow's Data Science and Analytics organization turns complex data into insights that inform decisions across the company. As an intern, you'll join the team and explore how data can help us understand customer behavior, measure outcomes, and find ways to improve the customer experience. You'll work with data scientists and cross-functional partners, building your analytical skills while bringing a fresh perspective to real business questions.Interns may focus on areas such as:
Business: build reporting, models, and insights that help specific Zillow organizations assess current initiatives and find opportunities to innovate.
Marketing: develop experimentation-first strategies for consumer and business marketing, and measure how each channel performs.
Product: analyze how people use our web and app products so we can deliver a better experience for everything home.
Pricing: help develop pricing strategies that deliver strong value for customers such as Premier Agents, lenders, and landlords.
Tools: turn the large volume of data Zillow collects every day into data products that help partners make informed decisions.
About the role
At Zillow, interns do meaningful work that contributes to the business from day one. As a Data Science Intern, you’ll apply the quantitative and programming skills you’re building in school to a scoped, real-world project. With guidance from your manager and team, you’ll work through the analytical process—from defining a question and preparing data to interpreting results and sharing recommendations.
Our nine-week summer internship program, running June 14 through August 13, 2027, gives students the opportunity to bring their ideas and perspectives to real projects alongside Zillow teams. Interns build hands-on experience, connect with mentors and leaders, and take part in learning and community experiences with their intern cohort.
Our 2027 internships are based in Seattle and follow a hybrid schedule, with interns generally working together in person Tuesday through Thursday. Eligible interns will receive a stipend to help offset summer housing and relocation costs.
During your internship, you will have opportunities to:
- Partner with your manager and stakeholders to turn an open-ended business question into an analytical plan with clear goals and deliverables.
- Use SQL and Python/R to explore, prepare, and validate data, documenting assumptions and flagging data-quality issues.
- Analyze patterns in customer behavior or business performance to uncover insights and potential opportunities.
- Apply statistical methods, such as regression, hypothesis testing, or experiment analysis (including A/B tests and pilots), as fits your project.
- Help define and interpret metrics that connect your analysis to customer and business outcomes, and support ongoing performance tracking.
- Create clear visualizations and reproducible analyses that make your findings useful to others.
- Work with engineers, product managers, marketers, and other teammates to build a shared approach to analyzing and communicating insights.
- Communicate your approach, results, recommendations, and limitations to technical and nontechnical audiences.
- Document your work and deliver a final presentation and handoff so the team can build on your findings.
Who you are
- Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, or a related quantitative field. You’re targeting a graduation date before December 2028.
- Have a foundation in probability, statistics, and data analysis through coursework, research, or projects.
- Can use Python or R, or a similar programming language, to manipulate data and perform analysis.
- Have familiarity with SQL and relational data, or a demonstrated ability and willingness to learn.
- Enjoy asking questions, investigating patterns, and bringing structure to ambiguous problems.
- Approach analysis thoughtfully: you check assumptions, validate results, and distinguish what the data supports from what remains uncertain.
- Can explain your thinking clearly and collaborate with people who bring different technical and non-technical backgrounds. Are curious about using AI tools to support your work while maintaining independent judgment, validating outputs, and following data-handling guidelines.
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Experience from coursework, academic research, student organizations, and personal projects is welcome. Prior professional data science experience is not required.
Helpful, but not required:
- Exposure to A/B testing, experimental design, or causal inference.
- Experience with data visualization tools or libraries.
- Familiarity with regression, predictive modeling, or other statistical learning methods.
- Experience organizing reproducible work using notebooks, version control, or clear technical documentation.
Get to know us
At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality.
How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise.
Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list , reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
See All 34 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
- Amazon13

- Meta3

- ExtraHop Networks2
- ZS1

- Chewy1

Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Banking & Financial Services
- Consulting & Professional Services
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, Meta, and ExtraHop Networks, based on current listings on Migrate Mate as of November 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 80% of data science manager openings tied to Washington are remote or hybrid as of November 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 34 Data Science Manager Jobs in Washington
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