Senior Data Scientist (Experimentation & Measurement)
Posted Updated
- As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance
- This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation
- 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
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling
- 5+ years of experience in a data science experimentation-focused role (3+ with PhD)
- Proficiency in Python, including statistical and data science libraries
- Broad and applied knowledge of statistical techniques and machine learning modeling methods
- Deep expertise in A/B testing and causal inference, including quasi-experimental methods
- Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered
- Proficiency in SQL for data extraction and transformation
- Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior
- Proven ability to influence product and business decisions through clear, actionable insights