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Marketing Data Scientist Salary in the United States

How much does a Marketing Data Scientist make in the United States?

As of September 01, 2026, the average salary for a Marketing Data Scientist in the United States is $69,707 per year, which breaks down to an hourly rate of $34.

However, a Marketing Data Scientist's salary can vary significantly. Here’s a look at the typical salary range:

  • Top Earners (90th percentile): $78,356
  • Majority Range (25th-75th percentile): $64,374 to $74,234
  • Entry-Level (10th percentile): $59,518
Salary Factors Salary-Boosting Skills Salary by Experience Related Job Salaries Top Paying Cities Explore Related Jobs

Key Factors That Influence Marketing Data Scientist Salaries

A Marketing Data Scientist'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, education and company size can directly affect your earning potential.

How Experience Level Affects Marketing Data Scientist Salaries?

Experience is a primary driver of a Marketing Data Scientist'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:

  • Entry-Level (less than 1 year): $67,571
  • Early Career (1-2 years): $67,734
  • Mid-Level (2-4 years): $69,374
  • Senior-Level (5-8 years): $71,038
  • Expert (over 8 years): $71,704
Levels Salary
Entry Level Marketing Data Scientist$67,571
Intermediate Level Marketing Data Scientist$67,734
Senior Level Marketing Data Scientist$69,374
Specialist Level Marketing Data Scientist$71,038
Expert Level Marketing Data Scientist$71,704
View as Graph

How Do Marketing Data Scientist 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 Marketing Data Scientists. For example, consider the average annual salaries in these key locations:
  • District of Columbia: $77,179.
  • California: $76,886.
  • Massachusetts: $75,862.

Top Paying Cities for Marketing Data Scientists

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: $87,921
  • San Francisco: $86,958
  • Oakland: $85,126

What Skills Can Increase a Marketing Data Scientist's Salary?

Demanded Skills for the Role:

  • Analysis (Mentioned in 14% Job Postings): Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  • Data Analytics (Mentioned in 2.24% Job Postings): Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
  • Marketing Analytics (Mentioned in 1.72% Job Postings): A market analysis studies the attractiveness and the dynamics of a special market within a special industry. It is part of the industry analysis and thus in turn of the global environmental analysis.
Skills Demand Percentage
Analysis 14%
Data Analytics 2.24%
Marketing Analytics 1.72%
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 a Marketing Data Scientist's salary.

  • Marketing Automation: Can increase your salary by up to 9%.
  • Economics: Can increase your salary by up to 8%.
  • Leadership: Can increase your salary by up to 7%.
Skill Salary Salary % Increase
Marketing Automation $75,980
9%
Economics $75,283
8%
Leadership $74,586
7%
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Marketing Data Scientist Salary by Industry: Top Paying Sectors

For Marketing Data Scientist roles, the industry you choose can affect earning potential by as much as 40% (the gap between the highest and lowest paying industries). Data shows that the Financial Services and Energy & Utilities sectors offer the strongest compensation, at 20% above the average. In contrast, Marketing Data Scientist positions in Telecom or Edu., Gov't. & Nonprofit typically offer lower base pay, as these industries often view Marketing Data Scientist as a support function rather than a direct revenue driver.

The top paying industries for a Marketing Data Scientist

Industry Sector Average Annual Salary Average Hourly Rate Pay vs.Avg
Financial Services$83,648$40.020%
Energy & Utilities$80,163$39.015%
Biotechnology$76,677$37.010%
Insurance$76,677$37.010%
Aerospace & Defense$73,192$35.05%

How Education impacts a Marketing Data Scientist's Salary?

Your level of education can impact your salary potential. While many Marketing Data Scientists enter the field with a Bachelor's Degree degree, higher education can lead to more specialized and higher-paying roles.

According to our 100% employer-reported salary data, the median salary for a Marketing Data Scientist with a Bachelor's Degree is between $70,860 and $75,862).

Marketing Data Scientist Salaries by Degree Level

Typical Education for Marketing Data Scientist
Degree Level % of user with this level of education
No Diploma 0.2%
High School 3.1%
Associates 1.9%
Bachelors 57.1%
Masters 37.0%
Doctorate 0.8%
View as Graph

Marketing Data Scientist Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Marketing Data Scientist'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 September 01, 2026
$64,374
Average $69,707/year
$74,234
$5,364
Average $5,809/month
$6,186
$1,238
Average $1,341/week
$1,428
$31
Average $34/hour
$36
Annual Salary Monthly Pay Weekly Pay Hourly Wage
75th Percentile $74,234 $6,186 $1,428 $36
Average $69,707 $5,809 $1,341 $34
25th Percentile $64,374 $5,364 $1,238 $31

Most common benefits for Marketing Data Scientist

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

Common company salaries for Marketing Data Scientist

Here are companies hiring for Marketing Data Scientist and their salaries, click below for more details.

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FAQ about Marketing Data Scientist

1. What industry pays the highest salary for Marketing Data Scientist?

The Financial Services industry offers the highest average compensation for Marketing Data Scientist roles, with salaries approximately 20% above the market median.

Where Does Our Salary Data Come From?

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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