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How much do data scientist experimentation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data scientist experimentation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist experimentation?

A Data Scientist Experimentation role focuses on designing, analyzing, and interpreting experiments, often A/B tests, to drive data-driven decision-making. They collaborate with product, engineering, and business teams to define hypotheses, structure experiments, and assess the impact of changes. This role requires strong statistical knowledge, proficiency in programming languages like Python or R, and experience with experimentation platforms. The goal is to optimize products, features, and user experiences based on data insights.

What kinds of experiments or analyses does a data scientist experimentation typically work on?

As a Data Scientist Experimentation, you will frequently design and analyze A/B tests, multivariate experiments, and other controlled trials to evaluate the impact of product or process changes. You'll collaborate with product managers, engineers, marketers, and UX teams to identify key business questions and set up experiments that generate actionable insights. A significant part of your role involves ensuring experimental validity, analyzing outcomes using statistical methods, and clearly communicating recommendations based on your findings. This position offers a dynamic environment with opportunities to influence strategic decisions and directly impact business outcomes.

What are the key skills and qualifications needed to thrive as a data scientist experimentation, and why are they important?

To thrive as a Data Scientist Experimentation, you need strong statistical knowledge, experimental design expertise, and proficiency in data analysis, often supported by an advanced degree in a quantitative field. Familiarity with tools such as Python, R, SQL, A/B testing platforms, and experience with cloud-based data systems or relevant certifications are highly beneficial. Strong problem-solving, communication, and collaboration skills help you translate complex data findings into actionable business recommendations and work effectively with cross-functional teams. These skills are vital for designing rigorous experiments, interpreting results accurately, and driving data-driven decisions within organizations.

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Data Scientist Experimentation jobs near you
Infographic showing various Data Scientist Experimentation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist - Experimentation & Measurement

San Francisco, CA • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

$178K - $268K/yr

Other

Re-posted 8 days ago

Key responsibilities

  • Design, execute, and interpret A/B tests and quasi-experiments to evaluate the impact of user migration initiatives, growth marketing strategies, and campaign performance.

  • Partner with cross-functional teams to embed experimentation into development and iteration cycles.

  • Communicate findings clearly to stakeholders to inform business decisions.

Job description

Senior Data Scientist - Experimentation & Measurement

Sony Interactive Entertainment | Posted Mar 13

Full-time

San Mateo, CA

Overview

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. This role focuses on advancing experimentation practices by applying statistical rigor, measurement strategies, and deep causal inference expertise to critical initiatives across PlayStation.

What You’ll Be Doing
  • Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives, growth marketing strategies, and campaign performance.
  • Partner with cross‑functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
  • Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
  • Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
  • Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
  • Communicate findings clearly to technical and non‑technical stakeholders, helping drive business decisions with rigor and clarity.
  • Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.
Basic Requirements
  • Master’s or PhD in Statistics, Economics, or Econometrics. Other quantitative degrees may be considered.
  • 5+ years of experience in a data science experimentation‑focused role (3+ with a PhD).
  • Deep expertise in A/B testing and causal inference, including quasi‑experimental methods.
  • Proficiency in SQL for data extraction and transformation.
  • Proficiency in Python, including statistical and data science libraries.
  • Broad and applied knowledge of statistical techniques and machine learning modeling methods.
  • Proven ability to influence product and business decisions through clear, actionable insights.
  • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

$178,900—$268,300 USD

Equal Opportunity Statement

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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