PlayStation is looking to advance its experimentation practices to evaluate the impact of user migration initiatives, growth marketing strategies, and campaign performance.
Requirements
- 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
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling
- Knowledge of video games, gaming platforms, or player behavior (bonus)
- Experience with data science libraries and tools
Responsibilities
- Lead the design, execution, and interpretation of A/B tests and quasi-experiments
- Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization
- 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
- Stay current on new methodologies in experimentation and causal analysis
- Help define and contribute to centralized experimentation frameworks, tools, and documentation
- Partner with cross-functional teams to embed experimentation into development and iteration cycles
Other
- Master's or PhD in Statistics, Economics, or Econometrics
- 5+ years of experience in a data science experimentation-focused role (3+ with PhD)
- Proven ability to influence product and business decisions through clear, actionable insights
