Senior Data Scientist - Experimentation & Measurement
About The Position
As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement organization at PlayStation, you will lead the design and interpretation of experiments evaluating PS4-to-PS5 user migration initiatives, growth marketing strategies, and campaign performance. The role advances experimentation practices through statistical rigor, clear measurement strategies, and causal inference expertise. You will work with product, engineering, and marketing teams to embed experimentation into development and iteration cycles; contribute to centralized experimentation frameworks, tools, and documentation; and communicate rigorous, actionable findings to technical and non-technical stakeholders. You will independently work with complex data systems using SQL, Python, and other analytics tools, and stay current with experimentation and causal-analysis methodologies.
Requirements
- Bachelor’s degree or equivalent.
- At least 5 years of experience in a data science experimentation-focused role, or at least 3 years with a PhD.
- 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, applied knowledge of statistical techniques and machine-learning modeling methods.
- Demonstrated ability to influence product and business decisions with clear, actionable insights.
- Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
Nice To Haves
- 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
- Lead the design, execution, and interpretation of A/B tests and quasi-experiments evaluating user migration initiatives, growth marketing strategies, and campaign performance.
- Partner with product, engineering, and marketing teams to incorporate experimentation into development and iteration cycles.
- Promote best practices for hypothesis development, metric selection, test structure, and communication of results.
- Apply advanced causal inference methods when experiments are infeasible and to inform test design and prioritization.
- 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.
- Communicate findings clearly to technical and non-technical stakeholders to support business decisions.
- 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 on Sony products.
- The role may be eligible for a bonus package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
