Staff Data Scientist - Experimentation & Measurement San Mateo, CA (Hybrid)
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, 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.
Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics.
6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
Proficiency in SQL and Python for data extraction, transformation, and analysis.
Broad and applied knowledge of statistical techniques.
Experience with machine learning modeling is a plus.
Proven ability to influence product and business decisions through clear, actionable insights.
Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
Bonus: Passion for video games, player communities, or the gaming industry.