Data Scientist - Experimentation & Measurement
Listed on 2026-01-11
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IT/Tech
Machine Learning/ ML Engineer, Data Analyst
Staff Data Scientist - Experimentation & Measurement
San Mateo, CA (Hybrid)
Play Station is a global leader in entertainment, producing the Play Station®5, Play Station®4, Play Station®VR, Play Station®Plus,and acclaimed Play Station software titles from Play Station Studios.
OverviewAs a Staff Data Scientist on the Decision Science team at Play Station, you will lead the design and interpretation of experiments that evaluate the impact of key initiatives and programs. You’ll shape how millions of players experience Play Station by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company.
This highly visible role will advance our experimentation practices and ensure that data‑driven insights inform how we build, market, and evolve our products.
- 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 senior leadership.
- Mentor and guide other Data Scientists, providing thought leadership and technical direction.
- Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
- 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.
- Your insights will directly influence how Play Station builds, markets, and evolves products across our ecosystem.
- Master’s or PhD in Statistics, Economics, or Econometrics.
- 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.
- Proficiency in SQL and Python for data extraction, transformation, and analysis.
- Broad and applied knowledge of statistical techniques.
- Experience with machine learning modeling is a plus.
- Proven ability to influence product and business decisions through clear, actionable insights.
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
- Bonus:
Passion for video games, player communities, or the gaming industry.
Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.
In addition, this role is eligible for Sony Interactive Entertainment’s top‑tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program, and employee discounts for Sony products. This role may also be eligible for a bonus package.
Estimated base pay range
: $212,200 – $318,200 USD.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Play Station is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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