Freelance Data Scientist Rates in Seattle, WA (2026)
Seattle, WA-based data scientists currently command roughly $142/hour, which is 35% above the US remote baseline. Demand for data scientist skills is trending up about 9% year-over-year, with the strongest pricing power going to freelancers who specialize in experimentation / a/b testing and causal inference.
How to command the top data scientist rate in Seattle
Clients in Seattle pay the top end of the range to freelancers who specialize rather than generalize. In 2026, the specializations driving the highest rates are:
- Experimentation / A/B testing
- Causal inference
- Forecasting & time series
- ML model deployment (MLOps)
Data Scientist rates in other cities
How Seattle, WA compares to other global data scientist markets.
| City | Low | Median | High |
|---|---|---|---|
| Silicon Valley, CA | $127 | $163 | $209 |
| Zurich, Switzerland | $123 | $158 | $202 |
| New York, NY | $119 | $152 | $195 |
| Boston, MA | $107 | $137 | $175 |
| Los Angeles, CA | $107 | $137 | $175 |
| Tel Aviv, Israel | $107 | $137 | $175 |
| London, UK | $102 | $131 | $168 |
| Singapore | $102 | $131 | $168 |
FAQ: Freelance Data Scientist Rates in Seattle, WA
How much do freelance data scientists charge in Seattle, WA?
Freelance data scientists in Seattle, WA charge a median of $142/hour in 2026, with typical rates ranging from $111 to $182/hour depending on experience and specialization.
Are Seattle data scientist rates higher than US remote?
Seattle rates are about 35% higher than the US remote baseline ($105/hr). This reflects Seattle's cost of living and local demand for data scientist talent.
What can a freelance data scientist earn annually in Seattle, WA?
At the median Seattle, WA rate of $142/hr and ~1,800 billable hours per year, a freelance data scientist can earn roughly $256,000 annually. Top earners hit $328,000 or more.
What data scientist specializations pay best in Seattle?
The highest-paying specializations for data scientists in Seattle in 2026 include: Experimentation / A/B testing, Causal inference, Forecasting & time series, ML model deployment (MLOps). Focusing on one of these niches typically adds 20–40% to your rate.
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