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PL
Staff Data Scientist (Experimentation & Measurement)
PlayStation · New York, United States
About The Role
Join PlayStation as a Staff Data Scientist on the Decision Science team. In this highly visible role, you will design and interpret experiments that evaluate the impact of key initiatives and programs. You will partner with cross-functional teams, mentor other Data Scientists, and contribute to centralized experimentation frameworks. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.
- Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible.
- Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership.
- Mentor and guide other Data Scientists, providing thought leadership and technical direction, and serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
- Broad and applied knowledge of statistical techniques
- Bonus: Passion for video games, player communities, or the gaming industry
- Proficiency in SQL and Python for data extraction, transformation, and analysis
- Master’s or PhD in Statistics, Economics, or Econometrics
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling
- 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD)
- Deep expertise in A/B testing and causal inference, including quasi-experimental methods
- Experience with machine learning modeling is a plus
- Proven ability to influence product and business decisions through clear, actionable insights
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