Freelance Data Scientist Rates in Remote (US) (2026)
Remote United States freelancers currently command roughly $105/hour, which is in line with 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 Remote
Clients in Remote 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 Remote (US) 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 |
| Seattle, WA | $111 | $142 | $182 |
| Boston, MA | $107 | $137 | $175 |
| Los Angeles, CA | $107 | $137 | $175 |
| Tel Aviv, Israel | $107 | $137 | $175 |
| London, UK | $102 | $131 | $168 |
FAQ: Freelance Data Scientist Rates in Remote (US)
How much do freelance data scientists charge in Remote (US)?
Freelance data scientists in Remote (US) charge a median of $105/hour in 2026, with typical rates ranging from $82 to $134/hour depending on experience and specialization.
Are Remote data scientist rates higher than US remote?
Remote rates are roughly equal to the US remote baseline ($105/hr). This reflects Remote's cost of living and local demand for data scientist talent.
What can a freelance data scientist earn annually in Remote (US)?
At the median Remote (US) rate of $105/hr and ~1,800 billable hours per year, a freelance data scientist can earn roughly $189,000 annually. Top earners hit $241,000 or more.
What data scientist specializations pay best in Remote?
The highest-paying specializations for data scientists in Remote 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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