Staff Data Scientist - Experimentation & Measurement
About The Position
As a Staff Data Scientist on PlayStation’s Decision Science team, you will lead the design and interpretation of experiments evaluating key initiatives and programs. You will apply statistical rigor, measurement strategies, and causal inference expertise to initiatives across the company, advancing experimentation practices and ensuring data-driven insights inform product development, marketing, and evolution. Your insights will influence how PlayStation builds, markets, and evolves products across its ecosystem. You will partner with product, engineering, and marketing teams, communicate findings to technical and non-technical stakeholders and senior leadership, and provide mentorship and technical direction to other Data Scientists. You will also help establish experimentation frameworks, tools, documentation, and best practices across the company.
Requirements
- Bachelor’s degree or equivalent.
- At least 6 years of experience in a data science role focused on experimentation or causal inference, or at least 4 years with a 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, applied knowledge of statistical techniques.
- Proven ability to influence product and business decisions through clear, actionable insights.
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
Nice To Haves
- Experience with machine learning modeling.
- Master’s or PhD in Statistics, Economics, or Econometrics; other quantitative disciplines may be considered.
- Interest in or knowledge of video games, gaming platforms, or player behavior.
Responsibilities
- Design, execute, and interpret A/B tests and quasi-experiments, applying advanced causal inference methods when experimentation is not feasible.
- Partner with product, engineering, and marketing teams to embed experimentation into development and iteration cycles.
- Communicate experiment results and analytical findings to senior leadership and technical and non-technical stakeholders to inform business decisions.
- Mentor and guide other Data Scientists, providing thought leadership and technical direction.
- Promote best practices for hypothesis development, metric selection, test structure, and results communication.
- Help define and contribute to centralized experimentation frameworks, tools, and documentation.
- Extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
- Stay current on experimentation and causal analysis methodologies and bring new perspectives to the team.
Benefits
- Medical, dental, and vision benefits.
- Matching 401(k).
- Paid time off.
- Wellness program.
- Employee discounts for Sony products.
- May be eligible for a bonus package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
