As of January 01, 2026, the average salary for a Data Science Supervisor in the United States is $118,113 per year, which breaks down to an hourly rate of $57.
However, a Data Science Supervisor's salary can vary significantly. Here’s a look at the typical salary range:
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Data Science Supervisor Salaries by Percentile
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $129,017 | $10,751 | $2,481 | $62 |
| Average | $118,113 | $9,843 | $2,271 | $57 |
| 25th Percentile | $114,192 | $9,516 | $2,196 | $55 |
QBE Insurance - SUN PRAIRIE, WI
Innova Solutions, Inc. - TYSONS, VA
Booz Allen Hamilton - SPRINGFIELD, VA
Integral Federal - ANNAPOLIS JUNCTION, MD
A Data Science Supervisor's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location and company size can directly affect your earning potential.
Experience is a primary driver of a Data Science Supervisor's salary. As you build your skills and take on more complex tasks, your compensation generally increases. Here's how the average salary grows at different career stages:
| Levels | Salary |
|---|---|
| Entry Level Data Science Supervisor | $116,650 |
| Intermediate Level Data Science Supervisor | $116,826 |
| Senior Level Data Science Supervisor | $117,703 |
| Specialist Level Data Science Supervisor | $120,880 |
| Expert Level Data Science Supervisor | $122,182 |
What Am I Worth?
Your salary can change significantly depending on where you work. States with a higher cost of living and strong industrial sectors often pay more to attract Data Science Supervisors. For example, consider the average annual salaries in these key locations:
Salaries can also vary between different cities. Major metropolitan areas or cities with a high demand for technicians often offer more competitive pay. Here are a few examples of average annual salaries in different U.S. cities:
Understanding how a Data Science Supervisor's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.
| Annual Salary | Monthly Pay | Weekly Pay | Hourly Wage | |
|---|---|---|---|---|
| 75th Percentile | $129,017 | $10,751 | $2,481 | $62 |
| Average | $118,113 | $9,843 | $2,271 | $57 |
| 25th Percentile | $114,192 | $9,516 | $2,196 | $55 |
For a Data Science Supervisor, the most direct path to higher earnings is advancing to the Data Science Manager role. This promotion typically comes with a significant pay increase, bringing the average annual salary to $148,858 - a projected growth of 26% over your current level.
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Compensation PlanningHere are companies hiring for Data Science Supervisor and their salaries, click below for more details.
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Ready to take the next step in your career? Browse thousands of current Data Science Supervisor job openings on our job board. Use the search bar below to find your perfect match.
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A Data Science Supervisor's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, a Data Science Supervisor earns the most in San Jose, CA, where the annual salary of a Data Science Supervisor is $148,976.
The highest pay for Data Science Supervisor is $138,945.
The lowest pay for Data Science Supervisor is $110,622.
Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Leads and delegates data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Implements policies and procedures to ensure data mining activities are compliant and ethical. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Supervises a group of primarily para-professional level staffs. May also be a level above a supervisor within high volume administrative/production environments. Makes day-to-day decisions within or for a group/small department. Has some authority for personnel actions. Typically requires 3-5 years experience in the related area as an individual contributor. Thorough knowledge of functional area and department processes.
Salary.com provides salary estimates, histograms, trends, and comparisons using data from employer job postings and third-party sources.
We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)
With the most extensive online, real-time compensation data available, Salary.com helps you pinpoint your exact pay target.
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