Senior Data Scientist - Experimentation & Measurement

Confirmed live in the last 24 hours

PlayStation

United States, San Mateo, CA

Hybrid

Posted April 3, 2026

Job Description

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Senior Data Scientist - Experimentation & Measurement

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 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.