Staff Data Scientist -  Experimentation & Measurement

PlayStation Global•San Mateo, CA
•$212,200 - $318,200•Hybrid

About The Position

As a Staff Data Scientist on PlayStation’s Decision Science team, you will lead the design and interpretation of experiments that evaluate the impact of key initiatives and programs. You will bring statistical rigor, clear measurement strategies, and causal inference expertise to important initiatives, helping shape how players experience PlayStation and how the company builds, markets, and evolves its products. The role partners with product, engineering, and marketing teams to embed experimentation into product development and iteration. It also provides technical direction and mentorship to other Data Scientists, advances company-wide experimentation practices, contributes to centralized frameworks and tools, and communicates rigorous, actionable findings to stakeholders including senior leadership.

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 and applied knowledge of statistical techniques.
  • Demonstrated 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 findings to senior leadership and other technical and non-technical stakeholders.
  • 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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