Senior Data Scientist - Experimentation & Measurement

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.

About the role

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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Pay and benefits

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. Click here to

The estimated base pay range for this role is listed below.

$178,900—$268,300 USD

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