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Data Science Engineer Jobs in Seattle, WA (NOW HIRING)

Data Science Engineer

Seattle, WA

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Agentic AI, AI & Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable ...

You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

You will be a strategic partner to product and engineering leadership -- shaping the questions ... Data Science Director Responsibilities: * Define the Data Science operating model across a ...

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Showing results 1-20

Data Science Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data science engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science engineer in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are popular job titles related to Data Science Engineer jobs in Seattle, WA? For Data Science Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Seattle, WA look for? The top searched job categories for Data Science Engineer jobs in Seattle, WA are:
Infographic showing various Data Science Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.
Data Science Engineer

Data Science Engineer

Adobe

Seattle, WA

$130K - $156K/yr

Full-time

Posted 3 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 245 rated software companies


Job description

The Challenge

In Adobe finance, we strive to introduce thefinanceof the future! We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This role is fitting for an individual who enjoys working with,cleaningand manipulating large datasets, and can derive insights using statistical and machine learning models. This positionmaintainslots of exposure to cross functional organizations and access to senior management.

Whatyou'lldo

A Finance Data Scientist withinAdobe'sCreativity & ProductivityFP&A (Financial Planning and Analysis)teampartners withfinance and businessstakeholders tounderstand, andthendevelop and enhance the existingor proposedforecastingprocess,optimizingand refining byleveragingautomation andAI/ML techniques.

This rolehasthe opportunity topresentandshowcasefindings and improvements to senior leadership, which is unique for this type of role infinanceorganizations.

In our team,we'recommitted to delivering actionable insights in a manner that isaccurateand efficient. This rolerepresentsan end-to-end data scientist involved in everyfacetof every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:

  • Drive data science modeling initiatives for forecasting and analysis

  • Automate, enhance, andmaintainanalytic applications and data structures used for modeling and forecasting

  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously "Create the Future" and further enhance forecast algorithms

  • Work with the PowerBI team to deliver requirements to create andmaintaindashboards tracking key indicators

  • Partner with Financeand otherteamsto build data science models to solve a wide breadth of businesschallenges

  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities

  • Analyze data toidentifyor resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.

  • Prepare analytical reports to document financial models and data processes.

  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes

  • Capture, synthesize, and interpret disparate quantitative data within the context of businessobjectives,identifytrends, and explore data through segments and cohorts

  • Be a change agent, ensuring users adopt new and innovative technologies

What you need to succeed

  • Strongproficiencyin SQL andPython;R is a plus.

  • Experience indata cloudplatform(eg.Databricks,AWS, Snowflake)

  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis

  • Proficiencywith data visualization tools (e.g.Power BI, Tableau)

  • Experience exploringlarge amountsof information, extracting insights, and achieving real-world results

  • Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills aremusts

  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders

  • Degree ina quantitative fieldlike statistics, economics, applied math, operations research or engineering preferred, or related work experience

  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus

  • Understanding of Version Control frameworks such as GitHub is a plus

  • Knowledge of customer cancellation forecasting and cohort retentionis 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 positionis $133,100 -- $236,400 annually. Paywithin this range varies by work locationand 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 $163,200 - $236,400 In Washington, the pay range for this position is $157,900 - $228,575

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.


What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982