Senior Data Scientist - Experimentation & Measurement

Senior Data Scientist - Experimentation & Measurement

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.

Responsibilities include:

• Leading 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.
• Partnering with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
• Serving as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Applying advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization.
• Helping define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
• Independently extracting, transforming, and analyzing data from complex systems using SQL, Python, and other analytics tools.
• Communicating findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
• Staying current on new methodologies in experimentation and causal analysis, and bringing fresh perspectives to the team's work.

Basic requirements include:

• 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 include:

• 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.