About this role
About the Role Senior Data Scientist on the Decision Science team within Sony Interactive Entertainment's PlayStation organization, taking a leading role in designing and interpreting experiments that evaluate PS4-to-PS5 migration initiatives, growth marketing strategies, and broader campaign performance. This role focuses on advancing experimentation practices with statistical rigor, clear measurement strategies, and deep causal inference expertise across PlayStation 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, actionable communication.