Salary AI Book a Demo
upper level job

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

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

As of October 01, 2026, the average hourly rate for an SVP of Data Science in the United States is $188, which translates to an annual salary of about $390,596.

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): $223 per hour
  • Majority Range (25th-75th percentile): $176 to $206 per hour
  • Entry-Level (10th percentile): $166 per hour
Salary Factors Salary-Boosting Skills Salary by Experience Related Job Salaries Top Paying Cities Explore Related Jobs

Key Factors That Influence SVP of Data Science Salaries

An SVP 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 SVP of Data Science Salaries?

Experience is a primary driver of an SVP 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): $198,197
  • Data Science Director (5+ years): $237,194
  • VP of Data Science (5+ years): $308,975
  • SVP of Data Science (5+ years): $390,596
  • Chief Data Scientist (5+ years): $454,528
Job Role Years of Experience Average Salary
Data Science Senior Manager5+ years$198,197
Data Science Director5+ years$237,194
VP of Data Science5+ years$308,975
SVP of Data Science5+ years$390,596
Chief Data Scientist5+ years$454,528
View as Graph

How Do SVP of Data Science 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 SVP of Data Sciences. For example, consider the average annual salaries in these key locations:
  • District of Columbia: $432,468.
  • California: $430,827.
  • Massachusetts: $425,086.

Top Paying Cities for SVP of Data Sciences

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: $492,659
  • San Francisco: $487,265
  • Oakland: $476,996

What Skills Can Increase an SVP of Data Science's Salary?

Demanded Skills for the Role:

  • Analysis (Mentioned in 10.19% Job Postings): Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  • Computer Science (Mentioned in 3.74% Job Postings): Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
  • Tableau (Mentioned in 1.64% Job Postings): Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.
Skills Demand Percentage
Analysis 10.19%
Computer Science 3.74%
Tableau 1.64%
See More Skills

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 an SVP of Data Science's salary.

  • Data Visualization: Can increase your salary by up to 37%.
  • Big Data: Can increase your salary by up to 20%.
  • Verbal Communication: Can increase your salary by up to 17%.
Skill Salary Salary % Increase
Data Visualization $535,117
37%
Big Data $468,715
20%
Verbal Communication $456,997
17%
Get Latest Data

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

SVP 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 $436,060. While startup companies pay approximate $369,232.

SVP of Data Science Salary by Company Size

Company Size Employees Average Salary
Startup 1~50 $369,232
Growth Stage 51~500 $390,416
Established 501~5000 $421,050
Enterprise 5000+ $436,060

SVP of Data Science Salary by Industry: Top Paying Sectors

For SVP of Data Science roles, the industry you choose can affect earning potential by as much as 60% (the gap between the highest and lowest paying industries). Data shows that the Pharmaceuticals and Software & Networking sectors offer the strongest compensation, at 34% above the average. In contrast, SVP of Data Science positions in Hospitality & Leisure or Retail & Wholesale typically offer lower base pay, as these industries often view SVP of Data Science as a support function rather than a direct revenue driver.

The top paying industries for an SVP of Data Science

Industry Sector Average Annual Salary Average Hourly Rate Pay vs.Avg
Pharmaceuticals$523,399$252.034%
Software & Networking$523,399$252.034%
Financial Services$484,339$233.024%
Internet$464,809$223.019%
Biotechnology$445,279$214.014%

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

Understanding how an SVP 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 October 01, 2026
$366,720
Average $390,596/year
$428,618
$30,560
Average $32,550/month
$35,718
$7,052
Average $7,511/week
$8,243
$176
Average $188/hour
$206
Annual Salary Monthly Pay Weekly Pay Hourly Wage
75th Percentile $428,618 $35,718 $8,243 $206
Average $390,596 $32,550 $7,511 $188
25th Percentile $366,720 $30,560 $7,052 $176

Most common benefits for SVP of Data Science

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

Common company salaries for SVP of Data Science

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

Find Your Next SVP of Data Science Job

Ready to take the next step in your career? Browse thousands of current SVP of Data Science job openings on our job board. Use the search bar below to find your perfect match.

For Employees

Analyze the market and your qualifications to negotiate your salary with confidence.

Get a Salary Increase

Search thousands of open positions to find your next opportunity.

Search Job Openings

For Employers

Individualize employee pay based on unique job requirements and personal qualifications.

Adjust Employee Salary

Get the latest market price for benchmark jobs and jobs in your industry.

Price My Industry Jobs

FAQ about SVP of Data Science

1. What are the responsibilities of SVP 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 top management. Manages a business unit, division, or corporate function with major organizational impact. Establishes/implements overall direction and strategic initiatives for the given major function or line of business. Typically requires 10+ years of progressive leadership experience. Has extensive knowledge of the overall departmental function.

2. What are the skills of SVP of Data Science

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.)

Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.

3.)

Tableau: Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.

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.

Are you an HR manager or compensation specialist?

Salary.com's CompAnalyst platform offers:

  • Detailed skills and competency reports for specific positions
  • Job and employee pricing reports
  • Compensation data tools, salary structures, surveys and benchmarks.
Learn about CompAnalyst
lower level job