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SVP of Data Science Salary in Mill Spring, MO

How much does an SVP of Data Science make in Mill Spring, MO?

As of August 01, 2026, the average salary for an SVP of Data Science in Mill Spring, MO is $358,632 per year, which breaks down to an hourly rate of $172.

However, an SVP of Data Science's salary can vary significantly. Here’s a look at the typical salary range:

  • Top Earners (90th percentile): $425,365
  • Majority Range (25th-75th percentile): $336,698 to $393,563
  • Entry-Level (10th percentile): $316,728
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, skills 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): $178,561
  • Data Science Director (5+ years): $217,908
  • VP of Data Science (5+ years): $283,789
  • SVP of Data Science (5+ years): $358,632
  • Chief Data Scientist (5+ years): $417,304
Job Role Years of Experience Average Salary
Data Science Senior Manager5+ years$178,561
Data Science Director5+ years$217,908
VP of Data Science5+ years$283,789
SVP of Data Science5+ years$358,632
Chief Data Scientist5+ years$417,304
View as Graph

Top Paying Cities for SVP 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: $492,260
  • San Francisco: $486,870
  • Oakland: $476,610

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 $491,326
37%
Big Data $430,359
20%
Verbal Communication $419,600
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 $401,468. While startup companies pay approximate $339,633.

SVP of Data Science Salary by Company Size

Company Size Employees Average Salary
Startup 1~50 $339,633
Growth Stage 51~500 $359,202
Established 501~5000 $387,689
Enterprise 5000+ $401,468

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$522,975$251.034%
Software & Networking$522,975$251.034%
Financial Services$483,947$233.024%
Internet$464,433$223.019%
Biotechnology$444,919$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 August 01, 2026
$336,698
Average $358,632/year
$393,563
$28,058
Average $29,886/month
$32,797
$6,475
Average $6,897/week
$7,569
$162
Average $172/hour
$189
Annual Salary Monthly Pay Weekly Pay Hourly Wage
75th Percentile $393,563 $32,797 $7,569 $189
Average $358,632 $29,886 $6,897 $172
25th Percentile $336,698 $28,058 $6,475 $162

SVP of Data Science Salary Growth & Career Path

SVP of Data Science

Next Role

For an SVP of Data Science, the most direct path to higher earnings is advancing to the Chief Data Scientist role. This promotion typically comes with a significant pay increase, bringing the average annual salary to $417,304 - a projected growth of 16% over your current level.

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Cost of Living In Mill Spring, MO

Cost of Living in Mill Spring, MO is
-2.9% Lower
than the National Average

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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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