Anesthesiologist vs Data Scientist

Put two roles head to head — any role, in any location or worldwide-remote.

Side A

Side B

Anesthesiologist pays about 216% more at the median.

Side-by-side distribution

Anesthesiologist Data Scientist
$600k
$190k
$67.7k box = 25th–75th · whiskers = 10th–90th $732.7k

Anesthesiologist

$600,000

median · per year, annualized USD

Median over time ▲ +45%
$413,750 $600,000
$562.5k 25th
$600k Median
$639k 75th
$406k
$686.8k
Box 25th–75th · whiskers 10th–90th Full range $240k – $700k · outliers off-axis
Disclosing
13%
Live roles
54

Data Scientist

$190,000

median · per year, annualized USD

Median over time ▼ -0.8%
$191,625 $190,000
$150k 25th
$190k Median
$229.9k 75th
$113.5k
$271.8k
Box 25th–75th · whiskers 10th–90th Full range $5.7k – $999k · outliers off-axis
Disclosing
42.4%
Live roles
1,661

Top companies hiring

Top companies hiring

Company Median Roles
Launch Potato $187,500 24
GR GRVTY $170,000 17
Lyft $158,400 17
Pinterest $213,757 12
OpenAI $308,250 10
Roblox $267,885 10
Reddit $260,450 10
Roku $254,875 9

Data Scientist salary by location

Location Median Roles
San Francisco $212,500 161
New York $190,000 138
Seattle $188,750 46
Austin $187,500 9
Denver $187,500 6
Los Angeles $183,750 16
Boston $182,500 29
London $160,895 21
Toronto $153,600 28
Chicago $153,300 21

Anesthesiologist vs Data Scientist: which pays more?

The median for Anesthesiologist is $600,000 per year (typically $562,500–$639,000), versus $190,000 for Data Scientist ($150,000–$229,900). That puts Anesthesiologist about 216% ahead at the median.

Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Anesthesiologist and Data Scientist 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.

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