Data Science Engineer Jobs in Seattle, WA
Data Science Engineer jobs in Seattle are in strong demand, concentrated in South Lake Union, Capitol Hill, and the Eastside corridor across cloud computing, e-commerce, and life sciences. Employers actively hiring include Amazon, Amazon Web Services, and Liberty Mutual Insurance. Find a role that fits below and apply directly.
Find Data Science Engineer JobsOverview
Showing 5 of 21+ Data Science Engineer jobs









The Opportunity
Adobe is seeking a Senior Manager for Acrobat & Express Data Science. This role will lead data analysis related to audiences and customers for two of Adobe’s most exciting businesses: Acrobat and Adobe Express. Acrobat is one of Adobe’s largest and fastest-growing businesses, helping millions of customers around the world create, edit, share, sign, and manage documents across web and desktop experiences. Adobe Express is an exciting newer offering that brings the power of Adobe’s creative tools to a broader audience, making it easier for anyone to build standout content quickly and confidently. This role sits at the center of how we understand customer behavior, diagnose business performance, and guide growth strategy across these businesses. You will lead a team responsible for analyzing the full customer funnel—from monthly active users to paywall traffic, conversion, orders, and financial performance—across key surfaces such as web and desktop. The team goes deep into what customers do, which actions drive conversion, and how product, marketing, and GTM teams can sustain momentum and unlock new growth. This is a high-impact people leadership role at the intersection of data science, product analytics, marketing analytics, and business performance management. You will lead a distributed team of data scientists and work closely with senior leaders across Product, GTM, Marketing, and Finance to build strategy, set funnel goals, identify risks and opportunities, and translate insights into clear business action.
What You’ll Do
- Lead, mentor, and develop a high-performing distributed team of data scientists across the US and Europe.
- Own audience and customer analytics for Acrobat and Adobe Express, with a focus on understanding end-to-end customer behavior across the digital funnel.
- Analyze full-funnel performance across key surfaces, including web and desktop, from MAU to paywall traffic, conversion, orders, and ARR impact.
- Identify the customer behaviors, product actions, and engagement patterns that drive conversion, such as which Acrobat verbs and workflows lead users to purchase.
- Lead weekly business performance reviews and provide a clear narrative on what is driving performance, where the business is on track or off track, and what actions teams should take next.
- Partner closely with Product, Marketing, Finance, and GTM leaders to connect product usage, traffic, conversion, and financial performance into one coordinated view of business health.
- Help set funnel goals, targets, and leading indicators for growth, and guide cross-functional teams on how to sustain momentum across Acrobat and Express.
- Apply advanced analytics and data science methods, including segmentation, forecasting, experimentation, funnel diagnostics, and predictive modeling, to improve decision-making.
- Set the standard on analytical rigor, business storytelling, and executive communication, including regular engagement with VP-level Product and GTM leaders.
- Translate complex data and customer behavior into simple, actionable recommendations that influence product roadmap, marketing strategy, and business planning.
What You’ll Need to Succeed
- 10+ years of experience in analytics, data science, or a related quantitative field, with strong business facing experience
- 4+ years of people management experience, including leading and developing high performing teams of analysts or data scientists
- Experience leading global or distributed teams, with the ability to develop clarity, alignment, and accountability across time zones.
- Strong understanding of digital funnels, subscription businesses, product-led growth, customer engagement, conversion, and ARR-based business models.
- Demonstrated ability to connect customer behavior, product usage, funnel performance, and financial outcomes into a clear business narrative.
- Experience running business performance cadences, including weekly executive reviews, performance diagnostics, target tracking, and insight generation.
- Strong cross-functional leadership skills and experience influencing senior collaborators across Finance, Marketing, Product, GTM, and Sales.
- Solid foundation in analytics and data science methods, including experimentation, forecasting, segmentation, and predictive modeling.
- Proficiency in SQL and Python or R, along with experience using visualization tools such as Tableau or Power BI.
- Excellent communication skills, executive presence, and the ability to translate complex analysis into clear business recommendations.
- Bachelor’s degree or equivalent experience in a quantitative field required; advanced degree preferred, such as Master’s in Analytics, Data Science, Statistics, or related field. MBA is a plus.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $144,800 -- $284,325 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $196,400 - $284,325. In Washington, the pay range for this position is $178,600 - $258,700. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See All 21 Data Science Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Job Market in Seattle
Who's Hiring
- Amazon6

- Amazon Web Services5

- Liberty Mutual Insurance3

- Deloitte2

- Meta1

Top Industries Hiring
- Technology & Software8
- Retail7
- E-Commerce & Online Marketplaces6
- Distribution & Wholesale5
- Insurance3
Data Science Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a data science engineer job in Seattle?
Focus your search on South Lake Union and the Eastside tech corridor, where cloud platforms, e-commerce, and enterprise software companies hire data science engineers at volume. Candidates who demonstrate hands-on experience with large-scale distributed systems and production ML pipelines stand out in Seattle's market. Networking through local meetups in the tech community and contributing to open-source projects also gives applicants a real edge with Seattle hiring teams.
Which companies hire data science engineers in Seattle?
Employers hiring data science engineers in Seattle right now include Amazon, Amazon Web Services, and Liberty Mutual Insurance, based on current listings on Migrate Mate as of June 2026. Seattle's hiring mix skews heavily toward large tech platforms and cloud infrastructure companies, alongside a growing number of life sciences and healthcare analytics firms in the area.
Are there remote data science engineer jobs in Seattle?
Yes, data science engineering is well-suited to remote work given its analytical and code-heavy nature. About 43% of data science engineer openings tied to Seattle are remote or hybrid as of June 2026, reflecting how broadly distributed these teams have become. Modeling, pipeline development, and experimentation work tends to be the most remote-friendly, while roles tied to on-site infrastructure or embedded product teams more often require in-person presence.
How can I get a data science engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting junior data engineer or analytics engineer roles at mid-size tech companies and startups in South Lake Union, which tend to hire earlier-career candidates than the large platform companies. Internship programs at Seattle's cloud and healthcare analytics firms are another strong foot in the door. Building a portfolio with end-to-end pipeline projects and contributing to open-source data tooling is what Seattle hiring managers consistently look for in entry-level candidates.
Which industries hire the most data science engineers in Seattle?
The sectors hiring the most data science engineers in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of June 2026. Seattle's concentration of major cloud infrastructure companies, large e-commerce operations, and an expanding life sciences cluster makes these sectors the dominant employers of data science engineering talent in the city.
Related Jobs in Washington
See All 21 Data Science Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Data Science Engineer Jobs