Freelance Data Scientist Rates in Singapore (2026)
Singapore-based data scientists currently command roughly $131/hour, which is 25% 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 Singapore
Clients in Singapore 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 Singapore 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 Singapore
How much do freelance data scientists charge in Singapore?
Freelance data scientists in Singapore charge a median of $131/hour in 2026, with typical rates ranging from $102 to $168/hour depending on experience and specialization.
Are Singapore data scientist rates higher than US remote?
Singapore rates are about 25% higher than the US remote baseline ($105/hr). This reflects Singapore's cost of living and local demand for data scientist talent.
What can a freelance data scientist earn annually in Singapore?
At the median Singapore rate of $131/hr and ~1,800 billable hours per year, a freelance data scientist can earn roughly $236,000 annually. Top earners hit $302,000 or more.
What data scientist specializations pay best in Singapore?
The highest-paying specializations for data scientists in Singapore 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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