• Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. • Mentor and guide other Data Scientists, providing thought leadership and technical direction. • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. • 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. • Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.