$190,000
median · per year, annualized USD
$190,000
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
Senior Engineering Program Manager II - New Ventures
Business Development Manager
Business Development Manager (Japanese and English bilingual)
Business Development Manager
Engineering Manager, GPU (ML Accelerator)
Engineering Manager, Research Data Platform
Engineering Manager, Research Productivity
Senior Engineering Manager
Senior Engineering Manager - Agentic Process & Self-Service
Senior Engineering Manager, Progressive Onboarding and Funnel Optimisation
| Company | Median | Roles |
|---|---|---|
Launch Potato
|
$187,500 | 24 |
| GR GRVTY | $170,000 | 17 |
Lyft
|
$153,200 | 15 |
Pinterest
|
$213,757 | 13 |
Roblox
|
$293,245 | 11 |
Reddit
|
$260,450 | 10 |
Accenture Federal Services
|
$157,675 | 10 |
OpenAI
|
$309,000 | 9 |
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$193,000 | 37 |
Databricks
|
$226,881 | 36 |
Brex
|
$254,250 | 29 |
Atwell, LLC
|
$117,500 | 24 |
OpenAI
|
$339,000 | 22 |
Anthropic
|
$445,000 | 21 |
Harvey
|
$350,000 | 20 |
DoorDash USA
|
$239,400 | 19 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $212,500 | 161 |
| Seattle | $191,500 | 46 |
| New York | $190,000 | 139 |
| Los Angeles | $187,500 | 17 |
| Austin | $187,500 | 9 |
| Denver | $187,500 | 6 |
| Boston | $181,250 | 30 |
| London | $160,895 | 21 |
| Chicago | $153,300 | 21 |
| Toronto | $151,200 | 29 |
The median for Data Scientist is $190,000 per year (typically $149,750–$230,000), versus $190,000 for Engineering Manager ($141,791–$238,500).
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Scientist and Engineering Manager 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.