Side-by-side distribution
Data Scientist
$190,000
median · per year, annualized USD
- Disclosing
- 42.7%
- Live roles
- 1,683
MLOps
$190,000
median · per year, annualized USD
- Disclosing
- 20.3%
- Live roles
- 133
Highest-paying jobs
Data Scientist
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Data Scientist, Identity
Data Scientist
Applied Scientist
Data Scientist, Developer Productivity
Data Scientist, Supply
Data Scientist, Business
Highest-paying jobs
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Staff Machine Learning/MLOps Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Artificial Intelligence Machine Learning Engineer 3 - NLP/MLOPS
Machine Learning Operations Engineer
Launch Potato
Lyft
Pinterest
Faire
Roblox
Top companies hiring
| Company | Median | Roles |
|---|---|---|
|
Garner Health
|
$297,500 | 2 |
|
Torc Robotics
|
$249,000 | 2 |
|
Quanata
|
$256,500 | 1 |
|
Roku
|
$254,875 | 1 |
|
LVT
|
$242,650 | 1 |
Instacart
|
$212,750 | 1 |
|
Captivation Software
|
$200,000 | 1 |
Cimgroup
|
$200,000 | 1 |
Data Scientist salary by location
| Location | Median | Roles |
|---|---|---|
| San Francisco | $210,910 | 166 |
| New York | $190,000 | 147 |
| Seattle | $188,750 | 42 |
| Austin | $187,500 | 10 |
| Denver | $187,500 | 7 |
| Boston | $182,500 | 32 |
| Los Angeles | $180,000 | 13 |
| Toronto | $177,500 | 31 |
| London | $166,258 | 19 |
| Berlin | $150,371 | 5 |
Data Scientist vs MLOps: which pays more?
The median for Data Scientist is $190,000 per year (typically $150,958–$227,016), versus $190,000 for MLOps ($172,500–$233,188).
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Scientist and MLOps are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.