Data Scientist Salary in Pennsylvania

Data Scientists in Pennsylvania have a median annual salary of $106,850, which works out to about $51.37 per hour, with a typical 25th–75th percentile range of $79,220 to $129,160, based on the latest BLS OEWS data.

15-2051 · Data Scientists

Data Scientist pay in Pennsylvania at a glance

Median annual salary

$106,850

Median hourly wage

$51.37/hr

Average annual salary

$110,810

Average hourly wage

$53.28/hr

25th percentile

$79,220

75th percentile

$129,160

10th percentile

$63,340

90th percentile

$162,290

People employed

13,810

Salary distribution

Reported wage points from the lowest to the highest paid data scientist roles in Pennsylvania.

10th percentile
$63,340
25th percentile
$79,220
Median percentile
$106,850
75th percentile
$129,160
90th percentile
$162,290

Pennsylvania vs U.S. salary

The median salary for data scientist roles in Pennsylvania is about 11.1% below the U.S. median of $120,230 for the same occupation.

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How much does a data scientist make in Pennsylvania?

Half of data scientist roles in Pennsylvania report earning more than $106,850 a year and half report earning less — that is the median. The mean (average) of $110,810 is pulled up or down by the highest and lowest earners, which is why the median is usually the better benchmark.

Salary range

A quarter of reported salaries fall below $79,220 and a quarter are above $129,160, so most data scientist pay sits between those two figures. These percentiles describe how pay is spread across all reported roles — they are not a direct measure of years of experience.

What can affect data scientist pay?

  • Years of experience and level of responsibility
  • Employer type and size
  • Specialization within the occupation
  • Certifications and licensing
  • Industry
  • Hours worked, shift patterns and overtime
  • The local labor market where the job is based

Data Scientist pay in other states

Related jobs in Pennsylvania

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Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025. Methodology · Data sources

Salary figures are benchmarks and can vary by employer, experience, specialization, hours worked and other factors.