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Hourly Wage for Data Science Manager Salary in the United States

What is the hourly salary range of Data Science Manager?

As of July 01, 2026, the average hourly rate for a Data Science Manager in the United States is $72, which translates to an annual salary of about $148,862.

However, the hourly wage can vary significantly based on several factors. Here’s a detailed look at the typical pay range per hour:

  • Top Earners (90th percentile): $83 per hour
  • Majority Range (25th-75th percentile): $66 to $77 per hour
  • Entry-Level (10th percentile): $62 per hour
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View as table View as graph 25% $66 10% $62 90% $83 75% $77 $72 50%(Median) Didn’t find job title? Click

Data Science Manager Salaries by Percentile

Annual
Salary
Monthly
Pay
Weekly
Pay
Hourly
Wage
75th Percentile $160,983 $13,415 $3,096 $77
Average $148,862 $12,405 $2,863 $72
25th Percentile $138,309 $11,526 $2,660 $66
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Key Factors That Influence Data Science Manager Salaries

A Data Science Manager'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.

How Experience Level Affects Data Science Manager Salaries?

Experience is a primary driver of a Data Science Manager'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:

  • Data Scientist VI (10-12 years): $182,712
  • Data Science Supervisor (12+ years): $117,875
  • Data Science Manager (12+ years): $148,862
  • Data Science Senior Manager (12+ years): $194,318
  • Data Science Director (12+ years): $237,114
Job Role Years of Experience Average Salary
Data Scientist VI10-12 years$182,712
Data Science Supervisor12+ years$117,875
Data Science Manager12+ years$148,862
Data Science Senior Manager12+ years$194,318
Data Science Director12+ years$237,114
$182,712 Data Scie...
$117,875 Data Scie...
$148,862 Data Scie...
$194,318 Data Scie...
$237,114 Data Scie...
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What Am I Worth?

Top Paying Cities for Data Science Managers

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:

  • San Jose: $187,760
  • San Francisco: $185,704
  • Oakland: $181,790

What Skills Can Increase a Data Science Manager's Salary?

Demanded Skills for the Role:

  • Analysis (Mentioned in 5.99% Job Postings): Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  • Algorithms (Mentioned in 2.87% Job Postings): Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.
  • Data Mining (Mentioned in 1.44% Job Postings): Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data; in contrast, data mining uses machine-learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.
See More Skills
Skills Demand Percentage
Analysis 5.99%
Algorithms 2.87%
Data Mining 1.44%
What skills can make your compensation higher?
Mastering certain specialized skills can lead to a significant increase in pay. Here are examples of skills and the potential impact they can have on a Data Science Manager's salary.
  • Inference: Can increase your salary by up to 8%.
  • Collaborating: Can increase your salary by up to 6%.
  • Creativity: Can increase your salary by up to 6%.
Skill Salary Salary % Increase
Inference
$160,771
8%
Collaborating
$157,794
6%
Creativity
$157,794
6%
Sales and Marketing
$156,305
5%
Pricing
$156,305
5%
Partnering
$154,816
4%
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Data Science Manager Salary by Company Size: Startups vs. Enterprise

Data Science Manager salary potential scales significantly with company size. Data shows that Enterprise companies (5,000+ employees) pay the highest average salary at around $166,501. While startup companies pay approximate $140,810.

Data Science Manager Salary by Company Size

Company Size Employees Average Salary
Startup1~50$140,810
Growth Stage51~500$148,929
Established501~5000$160,788
Enterprise5000+$166,501

Data Science Manager Salary by Industry: Top Paying Sectors

For Data Science Manager roles, the industry you choose can affect earning potential by as much as 45% (the gap between the highest and lowest paying industries). Data shows that the Internet and Biotechnology sectors offer the strongest compensation, at 25% above the average. In contrast, Data Science Manager positions in Transportation or Hospitality & Leisure typically offer lower base pay, as these industries often view Data Science Manager as a support function rather than a direct revenue driver.

The top paying industries for a Data Science Manager

Industry Sector Average Annual Salary Average Hourly Rate Pay vs.Avg
Internet$186,078$89.025%
Biotechnology$178,634$86.020%
Software & Networking$178,634$86.020%
Healthcare$171,191$82.015%
Energy & Utilities$163,748$79.010%

Data Science Manager Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Data Science Manager'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.

Last Updated on July 01, 2026

Salary Trends for Data Science Manager

Salaries for a Data Science Manager can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $134,582 in 2023 to around $132,415 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Data Science Manager salary trends, .

Average Annual Salary of Data Science Manager Over Time

2022
$???
2023
$134,582
2024
$134,124
2025
$132,415
2026
$???
2027
$???
Year Average Annual Salary
2022
View More
2023 $134,582
2024 $134,124
2025 $132,415
2026
View More
2027
View More

Most common benefits for Data Science Manager

Social Security
401(k)
Disability
Healthcare
Pension
Time Off (days)
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Common company salaries for Data Science Manager

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FAQ about Data Science Manager

1. What industry pays the highest salary for Data Science Manager?

The Internet industry offers the highest average compensation for Data Science Manager roles, with salaries approximately 25% above the market median.

2. What are the responsibilities of Data Science Manager?

Manages the identification and utilization of large data sets to identify trends, patterns, and provide key business insights. Oversees and promotes data mining, cleaning, and aggregation processes and frameworks to prepare data, implement data models, conduct analysis, and develop databases. Coordinates the design and implementation of big data solutions for an organization, collaborating and liaising with stakeholders to ensure needs are captured. Provides technical guidance to evaluate data models, review code, and source data pipelines. Prioritizes tasks and allocates resources effectively to ensure timely delivery of projects. Builds team capability with mentoring, coaching, and professional development. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a director. Manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. Typically requires 5 years experience in the related area as an individual contributor. 1-3 years supervisory experience may be required. Extensive knowledge of the function and department processes.

3. What are the skills of Data Science Manager

Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

1.)

Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.

2.)

Algorithms: Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.

3.)

Data Mining: Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data; in contrast, data mining uses machine-learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.

Where Does Our Salary Data Come From?

Salary.com salary estimates, histograms, trends, and comparisons are derived from both employer job postings and third-party data sources. We also provide multiple percentiles of salary information for your reference, click here to know Why the Salary Midpoint Formula Is Crucial to Getting Pay Equity Right. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target.

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