Data Scientist, Product Analytics Salary in the United States

How much does a Data Scientist, Product Analytics make in the United States?

As of May 01, 2026, the average salary for a Data Scientist, Product Analytics in the United States is $172,367 per year, which breaks down to an hourly rate of $83.

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

  • Top Earners (90th percentile): $190,056
  • Majority Range (25th-75th percentile): $160,620 to $181,626
  • Entry-Level (10th percentile): $149,925
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View as table View as graph 25% $160,620 10% $149,925 90% $190,056 75% $181,626 $172,367 50%(Median) Didn’t find job title? Click

Data Scientist, Product Analytics Salaries by Percentile

Annual
Salary		 Monthly
Pay		 Weekly
Pay		 Hourly
Wage
75th Percentile $181,626 $15,136 $3,493 $87
Average $172,367 $14,364 $3,315 $83
25th Percentile $160,620 $13,385 $3,089 $77
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Key Factors That Influence Data Scientist, Product Analytics Salaries

A Data Scientist, Product Analytics'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 Scientist, Product Analytics Salaries?

Experience is a primary driver of a Data Scientist, Product Analytics'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): $112,373
  • Early Career (1-2 years): $128,062
  • Mid-Level (2-4 years): $171,686
  • Senior-Level (5-8 years): $177,700
  • Expert (over 8 years): $114,725
Levels Salary
Data Scie... Level Data Scientist, Product Analytics$112,373
Data Scie... Level Data Scientist, Product Analytics$128,062
Data Scie... Level Data Scientist, Product Analytics$171,686
Data Scie... Level Data Scientist, Product Analytics$177,700
Data Scie... Level Data Scientist, Product Analytics$114,725
$112,373 0 yr
$128,062 < 2 yrs
$171,686 2-4 yrs
$177,700 5-8 yrs
$114,725 > 8 yrs
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What Am I Worth?

How Do Data Scientist, Product Analytics 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 Data Scientist, Product Analytics. For example, consider the average annual salaries in these key locations:

  • District of Columbia: $190,845.
  • California: $190,121.
  • Massachusetts: $187,587.

Top Paying Cities for Data Scientist, Product Analytics

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: $217,406
  • San Francisco: $215,026
  • Oakland: $210,495

What Skills Can Increase a Data Scientist, Product Analytics's Salary?

Demanded Skills for the Role:

  • Analysis (Mentioned in 10.04% 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 3.8% 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 1.55% Job Postings): Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.
See More Skills
Skills Demand Percentage
Analysis 10.04%
Computer Science 3.8%
Tableau 1.55%
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 Scientist, Product Analytics's salary.
  • Attention to Detail: Can increase your salary by up to 7%.
  • Inference: Can increase your salary by up to 5%.
  • Products and Services: Can increase your salary by up to 4%.
Skill Salary Salary % Increase
Attention to Detail
 $184,433
7%
Inference
 $180,985
5%
Products and Services
 $179,262
4%
Programming Language
 $179,262
4%
Artificial Intelligence
 $177,538
3%
Flexibility
 $177,538
3%
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Data Scientist, Product Analytics Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Data Scientist, Product Analytics'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.

  • Hourly
  • Monthly
  • Weekly
  • Yearly
  • Table View
Last Updated on May 01, 2026
$160,620
Average $172,367/year
$181,626
$13,385
Average $14,364/month
$15,136
$3,089
Average $3,315/week
$3,493
$77
Average $83/hour
$87
Annual Salary Monthly Pay Weekly Pay Hourly Wage
75th Percentile $181,626 $15,136 $3,493 $87
Average $172,367 $14,364 $3,315 $83
25th Percentile $160,620 $13,385 $3,089 $77

Salaries of jobs related to Data Scientist, Product Analytics

Salary Trends for Data Scientist, Product Analytics

Salaries for a Data Scientist, Product Analytics can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $143,854 in 2023 to around $140,837 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Data Scientist, Product Analytics salary trends, .

Average Annual Salary of Data Scientist, Product Analytics Over Time

2022
$???
2023
$143,854
2024
$143,994
2025
$140,837
2026
$???
2027
$???
Year Average Annual Salary
2022
View More
2023 $143,854
2024 $143,994
2025 $140,837
2026
View More
2027
View More

Most common benefits for Data Scientist, Product Analytics

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401(k)
Disability
Healthcare
Pension
Time Off (days)
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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.)

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