$190,000
median · per year, annualized USD
$206,250
median · per year, annualized USD
Data Scientist
Staff Applied Scientist - Machine Learning
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
Investment Banker II
Investment Banker I
Associate - Investment Banking - Los Angeles
Investment Banking, Vice President & Associate, Consumer & Retail
Investment Banking, Associate, M&A
Investment Banking, Associate, Private Capital Advisory
Investment Banking, Senior Analyst/Associate, DCM
Analyst - Investment Banking - Los Angeles
| Company | Median | Roles |
|---|---|---|
Launch Potato
|
$187,500 | 24 |
| GR GRVTY | $170,000 | 17 |
Lyft
|
$153,200 | 15 |
Pinterest
|
$213,757 | 12 |
Roblox
|
$293,245 | 11 |
Reddit
|
$260,450 | 10 |
Accenture Federal Services
|
$157,675 | 10 |
OpenAI
|
$309,000 | 9 |
| Company | Median | Roles |
|---|---|---|
| BT BTIG | $185,000 | 4 |
OffDeal
|
$486,250 | 2 |
Ducera Partners - Experienced Hires
|
$175,000 | 2 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $212,160 | 164 |
| Seattle | $191,500 | 46 |
| New York | $190,000 | 140 |
| Los Angeles | $187,500 | 17 |
| Austin | $187,500 | 10 |
| Denver | $187,500 | 6 |
| Boston | $181,250 | 30 |
| Toronto | $156,000 | 29 |
| Chicago | $153,300 | 21 |
| London | $151,716 | 22 |
| Location | Median | Roles |
|---|---|---|
| New York | $206,250 | 6 |
The median for Data Scientist is $190,000 per year (typically $150,000–$229,900), versus $206,250 for Investment Banking ($176,250–$228,750). That puts Investment Banking about 9% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Scientist and Investment Banking 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.