$190,000
median · per year, annualized USD
$200,000
median · per year, annualized USD
Data Scientist
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Data Scientist, Identity
Data Scientist
Applied Scientist, Experimentation
Data Scientist, Supply
Data Scientist, Developer Productivity
Machine Learning Scientist
Lead Safety Engineer, Robotics
Firmware Engineer, Robotics
Machine Learning Engineer, Distributed Data Systems - Robotics
Software Engineer, Distributed Data Systems - Robotics
Inference Engineer, Robotics
Electrical Engineer, Robotics
Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning
Software Engineer: Robotics Controls
Software Engineer: ML Robotics Systems
Staff Robotics Software Engineer, Air Vehicle Autonomy
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$222,000 | 53 |
Field Ai
|
$185,000 | 9 |
OpenAI
|
$370,000 | 7 |
| SA Skild AI | $200,000 | 7 |
Neuralink
|
$155,750 | 6 |
DoorDash USA
|
$207,500 | 5 |
Intrinsic
|
$174,050 | 5 |
Agility Robotics
|
$215,750 | 4 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $212,500 | 161 |
| Seattle | $191,500 | 46 |
| New York | $190,000 | 139 |
| Austin | $187,500 | 9 |
| Denver | $187,500 | 6 |
| Los Angeles | $183,750 | 16 |
| Boston | $181,250 | 30 |
| London | $160,895 | 21 |
| Chicago | $153,300 | 21 |
| Toronto | $151,200 | 29 |
| Location | Median | Roles |
|---|---|---|
| Boston | $222,000 | 13 |
| New York | $214,750 | 4 |
| Seattle | $214,750 | 6 |
| Austin | $212,000 | 9 |
| San Francisco | $206,000 | 36 |
| Denver | $150,000 | 3 |
| Los Angeles | $131,250 | 6 |
The median for Data Scientist is $190,000 per year (typically $149,750–$230,000), versus $200,000 for Robotics ($170,000–$222,000). That puts Robotics about 5% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Scientist and Robotics 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.