Contact Government Services data science salaries

Across 72 open data science postings at Contact Government Services that state a range, the middle half pays $126k–$167k a year, with a median of $140k. The lowest posted floor is $89k and the highest ceiling $264k. This is base pay as posted by Contact Government Services, converted to US dollars; equity and bonus are not included.

From pay ranges in open postingsRebuilt 24 Oct 2026

The range

Lowest floor$89k
25th percentile$126k
Median$140k
75th percentile$167k
Highest ceiling$264k

Postings by the midpoint of the posted range, in steps of $20k

Middle halfMedian bucket

Median by team at Contact Government Services

Engineering leadership$197k
Design$181k
Networking$160k
Solutions engineering$149k
Science and research$141k
Data science$140k
Industrial engineering$137k

Postings with a stated range: Engineering leadership 11 · Design 20 · Networking 30 · Solutions engineering 10 · DevOps and infrastructure 80 · Science and research 20 · Data science 72 · Industrial engineering 36

Data science pay by level

LevelPostingsMedianMiddle half
Senior52$133k$126k–$140k

72 data science roles open at Contact Government Services now

72 of them show the pay range on the posting.

Questions

How much does Contact Government Services pay for data science roles?

The median of the 72 posted ranges is $140k a year; the middle half sits between $126k and $167k.

Is this base salary or total compensation?

Base salary as written in the posting. Many US employers post ranges under state pay transparency laws (California, New York, Washington, Colorado and others); equity and bonus are not part of these figures.

Why posted ranges and not self-reported salaries?

A posted range is what the employer commits to for a role it has open today. It is fresher than a survey and cannot be inflated by respondents. Each posting counts once, at the midpoint of its range.

Source: the pay ranges of 72 open postings on Contact Government Services's careers board; the midpoint of each rangeUpdated 24 Oct 2026MethodologyJSONCC BY-SA 4.0