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Computer Science Data Science Jobs in Seattle, WA

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Hands on experience in Computer Visions and NLP. Gen AI, Agentic AI * Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across ...

... Computer Science, Data Science, and Statistics/Mathematics or related field • Knowledge of Agile software development • Exposure to the retail industry • Excellent verbal and written ...

Director, Data Science

Seattle, WA · On-site

$177K - $248K/yr

D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience. * At least 10 years of experience developing machine ...

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Progress toward a degree in mathematics, economics, statistics, computer science, physics, social ...

Principal Data Scientist

Seattle, WA · On-site

$200K - $245K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related field (PhD not required, but a strong plus). * 10+ years of hands-on machine learning experience ...

The Research Data Science team builds innovative solutions for iSpot's audience measures ... computer science, physics, social sciences, or other quantitative discipline. ● Relevant work ...

The Research Data Science team builds innovative solutions for iSpot's audience measures ... computer science, physics, social sciences, or other quantitative discipline. • Relevant work ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in analytics engineering, data engineering, data science, data analyst, or ...

Drive data-derived insights by developing advanced statistical models, machine learning algorithms ... Educational qualifications should be Computer Science/Statistics/Mathematics ora related area.

Principal Data Scientist

Seattle, WA · On-site

$200K - $245K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related field (PhD not required, but a strong plus). * 10+ years of hands-on machine learning experience ...

Head of Data Science Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch ...

Head of Data Science Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch ...

As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the ... Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.

D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience. * At least 10 years of experience developing machine ...

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Computer Science Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do computer science data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer science data science in Seattle, WA is $139,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
What are popular job titles related to Computer Science Data Science jobs in Seattle, WA? For Computer Science Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Seattle, WA look for? The top searched job categories for Computer Science Data Science jobs in Seattle, WA are:
Infographic showing various Computer Science Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $139,691 per year, or $67.2 per hour.
Manager of Data Science

Full-time

Posted 4 days ago


Job description

Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement. For more information about our Diversity, Equity and Inclusion policy, click here.
This is a remote role. We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.
Providence is one of the largest not-for-profit health systems in the United States.
At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.
The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team. We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.
DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.
Recently funded DIG startups include DexCare and Praia Health.
Success in this role means you can join future funded startups on the ground floor.
Job Summary:
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience?
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG.
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling.
  • 4 years Leadership experience.

Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.)