Data Scientist salary by region
| Region | Typical annual pay |
|---|---|
| United StatesNational range; SF/NYC skew higher. | $110,000 – $165,000 |
| United KingdomNational range; London skews higher. | £85,000 – £130,000 |
| European UnionVaries widely by country. | €100,000 – €150,000 |
Ranges are directional benchmarks for budgeting, not offers. Actual pay depends on location, company stage, and the candidate’s track record.
Salary factors for Data Scientist
Seniority is the biggest lever (mid–senior is the common band for this role), followed by the depth of these skills:
- 3+ years building and shipping ML models in Python (scikit-learn, pandas, numpy); production experience required
- SQL fluency; able to write complex window functions and CTEs to construct training datasets
- Experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift) or datalake
- Statistics fundamentals: hypothesis testing, confidence intervals, A/B test design—not just libraries
- Familiarity with one ML ops tool (Weights & Biases, MLflow, or equivalent) or version control for models
- Clear communication; able to explain model trade-offs and uncertainty to non-technical founders and managers
Why companies invest in Data Scientist
As we scale, manual reporting and gut-feel decisions cost us growth. We need someone to systematically find signal in our data and automate insights that help sales, product, and ops move faster.
When you are ready to hire
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