PlayStation is looking to advance its experimentation practices to evaluate the impact of PS4 to PS5 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.
- Interest in or knowledge of video games, gaming platforms, or player behavior (bonus).
- Experience with data science experimentation-focused role
Responsibilities
- 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.
- 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.
Other
- Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
- 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.
