Freelance Data Scientist Rates in New York, NY (2026)
New York, NY-based data scientists currently command roughly $152/hour, which is 45% 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 New York
Clients in New York 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 New York, NY compares to other global data scientist markets.
| City | Low | Median | High |
|---|---|---|---|
| Silicon Valley, CA | $127 | $163 | $209 |
| Zurich, Switzerland | $123 | $158 | $202 |
| 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 |
| Singapore | $102 | $131 | $168 |
FAQ: Freelance Data Scientist Rates in New York, NY
How much do freelance data scientists charge in New York, NY?
Freelance data scientists in New York, NY charge a median of $152/hour in 2026, with typical rates ranging from $119 to $195/hour depending on experience and specialization.
Are New York data scientist rates higher than US remote?
New York rates are about 45% higher than the US remote baseline ($105/hr). This reflects New York's cost of living and local demand for data scientist talent.
What can a freelance data scientist earn annually in New York, NY?
At the median New York, NY rate of $152/hr and ~1,800 billable hours per year, a freelance data scientist can earn roughly $274,000 annually. Top earners hit $351,000 or more.
What data scientist specializations pay best in New York?
The highest-paying specializations for data scientists in New York 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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