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Hourly Wage for VP of Data Science Salary in the United States

What is the hourly salary range of VP of Data Science?

As of August 01, 2026, the average hourly rate for a VP of Data Science in the United States is $148, which translates to an annual salary of about $308,832.

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): $165 per hour
  • Majority Range (25th-75th percentile): $136 to $157 per hour
  • Entry-Level (10th percentile): $125 per hour
Salary Factors Salary-Boosting Skills Salary by Experience Related Job Salaries Top Paying Cities Explore Related Jobs

Key Factors That Influence VP of Data Science Salaries

A VP of Data Science'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 VP of Data Science Salaries?

Experience is a primary driver of a VP of Data Science'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 Science Senior Manager (5+ years): $194,318
  • Data Science Director (5+ years): $237,137
  • VP of Data Science (5+ years): $308,832
  • SVP of Data Science (5+ years): $390,280
  • Chief Data Scientist (5+ years): $454,129
Job Role Years of Experience Average Salary
Data Science Senior Manager5+ years$194,318
Data Science Director5+ years$237,137
VP of Data Science5+ years$308,832
SVP of Data Science5+ years$390,280
Chief Data Scientist5+ years$454,129
View as Graph

How Do VP of Data Sciences Salaries Vary from State to State?

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 VP of Data Sciences. For example, consider the average annual salaries in these key locations:
  • District of Columbia: $341,939.
  • California: $340,642.
  • Massachusetts: $336,102.

Top Paying Cities for VP of Data Science

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: $389,530
  • San Francisco: $385,265
  • Oakland: $377,146

VP of Data Science Salary by Company Size: Startups vs. Enterprise

VP of Data Science salary potential scales significantly with company size. Data shows that Enterprise companies (5,000+ employees) pay the highest average salary at around $345,720. While startup companies pay approximate $292,471.

VP of Data Science Salary by Company Size

Company Size Employees Average Salary
Startup 1~50 $292,471
Growth Stage 51~500 $309,322
Established 501~5000 $333,854
Enterprise 5000+ $345,720

VP of Data Science Salary by Industry: Top Paying Sectors

For VP of Data Science roles, the industry you choose can affect earning potential by as much as 44% (the gap between the highest and lowest paying industries). Data shows that the Pharmaceuticals and Biotechnology sectors offer the strongest compensation, at 20% above the average. In contrast, VP of Data Science positions in Hospitality & Leisure or Transportation typically offer lower base pay, as these industries often view VP of Data Science as a support function rather than a direct revenue driver.

The top paying industries for a VP of Data Science

Industry Sector Average Annual Salary Average Hourly Rate Pay vs.Avg
Pharmaceuticals$370,598$178.020%
Biotechnology$355,157$171.015%
Internet$355,157$171.015%
Energy & Utilities$339,715$163.010%
Financial Services$339,715$163.010%

VP of Data Science Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a VP of Data Science'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 August 01, 2026
$283,083
Average $308,832/year
$327,244
$23,590
Average $25,736/month
$27,270
$5,444
Average $5,939/week
$6,293
$136
Average $148/hour
$157
Annual Salary Monthly Pay Weekly Pay Hourly Wage
75th Percentile $327,244 $27,270 $6,293 $157
Average $308,832 $25,736 $5,939 $148
25th Percentile $283,083 $23,590 $5,444 $136

Most common benefits for VP of Data Science

  • Social Security
  • 401 (k)
  • Disability
  • Healthcare
  • Pension
  • Time Off (days)

Common company salaries for VP of Data Science

Here are companies hiring for VP of Data Science and their salaries, click below for more details.

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FAQ about VP of Data Science

1. What are the responsibilities of VP of Data Science?

Establishes, plans, and administers the overall policies and goals of the data science function to support the organization's objectives. Provides strategic guidance, oversight, and direction for data science initiatives to ensure accuracy, timely delivery, and alignment with organizational goals. Allocates resources and evaluates and improves the tools, techniques, and methodologies utilized to extract and process data. Remains up-to-date on trends and developments in AI, machine learning, and data engineering. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to senior management. Manages a departmental function within a broader corporate function. Develops major goals to support broad functional objectives. Approves policies developed within various sub-functions and departments. Typically requires 8+ years of managerial experience. Comprehensive knowledge of the overall departmental function.

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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