Senior Data Scientist (Experimentation & Measurement)

Join PlayStation as a Senior Data Scientist on the Decision Science team. In this role, you will lead the design and interpretation of experiments evaluating user migration initiatives, growth marketing strategies, and campaign performance. You will partner with cross-functional teams, apply advanced causal inference methods, and communicate findings to stakeholders. The position offers a range of benefits, including private medical and dental insurance, flexible working policy, and discounts on PlayStation and Sony products.

• 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, and serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools, and communicate findings clearly to technical and non-technical stakeholders.
• 5+ years of experience in a data science experimentation-focused role (3+ with PhD)
• Broad and applied knowledge of statistical techniques and machine learning modeling methods
• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling
• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered
• Proven ability to influence product and business decisions through clear, actionable insights
• Proficiency in SQL for data extraction and transformation
• Proficiency in Python, including statistical and data science libraries
• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior
• Deep expertise in A/B testing and causal inference, including quasi-experimental methods