Staff Data Scientist - Experimentation & Measurement

Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You’ll Be Doing: - 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

Staff Data Scientist - Experimentation & Measurement

Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You’ll Be Doing: - 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