Data Scientist Salary in Seattle 2025

Quick Answer

Data Scientist Salary in Seattle: Full Breakdown

Seattle’s data scientist market commands premium compensation, driven by the concentration of major technology employers and the region’s high cost of living. The $163,640 annual mean salary reflects the city’s position as a global technology center alongside San Francisco and New York.

As of 2024, data scientists in Seattle earn substantially above the national average for the occupation. This premium reflects several factors: the density of Fortune 500 tech companies headquartered or operating major offices in the Seattle metro area, the region’s strong venture capital ecosystem, and the competitive talent market for skilled data professionals.

Cost of Living Context

Understanding Seattle’s salary requires context on the region’s cost of living. The city consistently ranks among the most expensive in the United States, with particular pressure on housing costs.

Key cost metrics for Seattle:

• The median rent for a one-bedroom apartment in Seattle is substantially above the national average, reflecting the competitive housing market
• Housing costs consume a significant portion of professional salaries in the region
• The overall cost of living index in Seattle is approximately 25-30% above the national average

For a data scientist earning $163,640 annually, monthly gross income averages approximately $13,637. Housing affordability remains a consideration despite high nominal salaries—many data scientists in Seattle allocate 25-35% of gross income to rent or mortgage payments.

Notable Metro Area Cities

The Seattle metropolitan area includes several major employment centers for data science roles:

• Bellevue: Home to major tech employers and corporate headquarters, consistently offering competitive salaries
• Redmond: Technology hub with significant presence of major software and cloud computing companies
• Kirkland: Growing tech sector with proximity to Seattle employment centers
• Tacoma: More affordable alternative with increasing tech job growth
• Everett: Industrial and aerospace sector with emerging data science opportunities

Data Scientist Salary Bellevue Data Scientist Salary Redmond Cost Of Living Seattle Vs National Average

Job Outlook for Data Scientists

The data science field continues to experience robust growth. Organizations across all sectors—technology, finance, healthcare, e-commerce, and manufacturing—increasingly rely on data-driven decision making, creating sustained demand for qualified data scientists.

Career trajectory considerations:

• Entry-level data scientist positions typically require a bachelor’s degree in computer science, statistics, mathematics, or related field
• Many employers prefer candidates with a master’s degree in data science, statistics, or machine learning
• Advanced certifications in cloud platforms (AWS, Azure, Google Cloud) enhance earning potential
• Specialized expertise in machine learning, deep learning, or specific industry applications commands premium compensation

The Seattle market specifically benefits from:

• Continued investment in AI and machine learning by major tech employers
• Growing data science needs in healthcare and biotech sectors (UW Medicine, Fred Hutchinson Cancer Center)
• Expansion of cloud computing services and infrastructure
• Strong startup ecosystem creating new data science roles

Top Skills and Specializations

Data scientists commanding the highest salaries in Seattle typically demonstrate:

• Programming proficiency: Python, R, SQL, Scala
• Machine learning frameworks: TensorFlow, PyTorch, scikit-learn
• Cloud platforms: AWS SageMaker, Google Cloud AI, Azure Machine Learning
• Big data technologies: Spark, Hadoop, distributed computing
• Domain expertise: Healthcare, finance, e-commerce, or other specialized sectors

Negotiation and Compensation Strategy

When evaluating data scientist offers in Seattle, consider:

1. Base salary is typically 70-80% of total compensation
2. Equity compensation is common at tech companies—understand vesting schedules and strike prices
3. Sign-on bonuses often range from $10,000-$50,000+ for mid-to-senior level positions
4. Benefits packages vary significantly—evaluate health insurance, 401(k) matching, stock purchase plans
5. Remote work arrangements may offset some cost-of-living pressures
6. Professional development budgets support continued learning in rapidly evolving field

Frequently Asked Questions

What is the starting salary for a data scientist in Seattle?

Entry-level data scientists in Seattle typically start between $110,000-$140,000 annually, depending on educational background and specific skills. Candidates with a master’s degree or relevant internship experience tend toward the higher end of this range. This represents a solid entry point, though it’s important to note that these positions often come with strong growth trajectories as you gain experience and develop specialized expertise.

How does data scientist salary in Seattle compare to the national average?

Data scientists in Seattle earn approximately 20-25% above the national average for the occupation. The $163,640 annual mean in Seattle reflects both the region’s premium tech market and its elevated cost of living. While the nominal salary is higher than most other U.S. markets, the cost-of-living adjustment partially offsets this premium—meaning real purchasing power is somewhat less than the raw salary difference suggests.

Is it worth relocating to Seattle for a data scientist position?

Relocation to Seattle makes financial sense if: (1) your new salary exceeds your current salary by at least 25% to account for higher living costs; (2) you have interest in the Pacific Northwest region and tech community; (3) your employer offers relocation assistance; and (4) you’re prepared for higher housing costs. Seattle offers exceptional professional development opportunities, strong networking within the tech industry, and access to cutting-edge projects. However, candidates from lower cost-of-living regions should carefully calculate real purchasing power rather than focusing solely on nominal salary increases.

What certifications increase earning potential for data scientists in Seattle?

Cloud platform certifications (AWS Certified Machine Learning Specialist, Google Cloud Professional Data Engineer, Azure Data Scientist) consistently correlate with higher salaries. Additionally, certifications in advanced specializations—such as deep learning or specific industry applications (healthcare AI, financial modeling)—command premium compensation. Many Seattle employers offer tuition reimbursement for professional certifications.

How quickly do data scientist salaries grow in Seattle?

Data scientists in Seattle typically see 8-12% annual salary increases in the first 3-5 years as they move from mid-level to senior positions. Promotions to senior data scientist or machine learning engineer roles can result in 15-25% increases. Compensation growth accelerates with demonstrated impact on business outcomes and development of specialized expertise in high-demand areas like deep learning or MLOps.

What benefits packages should I expect as a data scientist in Seattle?

Beyond base salary, competitive packages in Seattle typically include: health insurance (medical, dental, vision), 401(k) with employer matching (usually 4-6%), equity grants (for tech companies), sign-on bonuses ($15,000-$50,000), professional development budgets ($2,000-$5,000 annually), and increasingly, mental health and wellness benefits. Evaluate total compensation rather than base salary alone—equity can represent 20-40% of total annual compensation at established tech companies.

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Data source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. SOC Code 15-2051 (Data Scientists and Mathematical Science Occupations, All Other).

Last updated: April 10, 2026

Disclaimer: Salary data presented is based on aggregated public sources and represents typical compensation ranges. Actual salaries vary based on employer, experience, education, specific skills, and individual negotiation. This content is informational only and should not be considered financial or career advice. Consult with career professionals or recruiters for personalized guidance.