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How much do data scientist experimentation jobs pay per year?

As of Aug 23, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist - Experimentation & Measurement

Sony Interactive Entertainment (SIE)

San Diego, CA

$178K - $268K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

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'sdegree 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.

#LI-KC

At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Clickhere to learn more.

The estimated base pay range for this role is listed below.
$178,900-$268,300 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

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.

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

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