Senior Data Scientist - Experimentation & Measurement

Job title: Senior Data Scientist - Experimentation & Measurement

About the Role Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation. You will lead experimentation design and interpretation to evaluate PS4 to PS5 migration, growth marketing initiatives, and campaign performance, bringing rigorous causal inference and measurement practices to high-impact initiatives.

What You'll Do

• 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.

What We're Looking For

• 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, data-driven communication of results.
• Strong analytical and storytelling skills with the ability to translate data insights into actionable recommendations.