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Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting ...

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How much do data scientist experimentation jobs pay per year?

As of Jun 11, 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 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 is a Data Scientist Experimentation job?

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 are the key skills and qualifications needed to thrive in the Data Scientist Experimentation position, 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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What cities are hiring for Data Scientist Experimentation jobs? Cities with the most Data Scientist Experimentation job openings:
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Data Scientist Experimentation jobs near you
Infographic showing various Data Scientist Experimentation job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist - Experimentation & Measurement

Senior Data Scientist - Experimentation & Measurement

PlayStation Global

San Diego, CA

Other

Posted 19 days ago

Job description

Senior Data Scientist -  Experimentation & Measurement

San Diego, 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 PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices-bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most 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 (PS4 to PS5), 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:
 

  • Bachelor's degree or equivalent.
     

  • 5+ years of experience in a data science experimentation-focused role (3+ with 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.

    Preferred Requirements:

  • Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
     

  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

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