Senior Data Scientist - Experimentation & Measurement
About The Position
As a Senior Data Scientist on the Decision Science team within PlayStation’s Data Science, Analytics, & Enablement organization, 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 partner with product, engineering, and marketing teams to incorporate experimentation into development and iteration cycles, and help establish frameworks, tools, and documentation that scale experimentation best practices across the company. You will analyze data from complex systems using SQL, Python, and other analytics tools, then communicate findings to technical and non-technical stakeholders to inform business decisions.
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.
- 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
- Master’s or PhD in Statistics, Economics, or Econometrics; other quantitative degrees 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 embed experimentation into development and iteration cycles.
- Advise on best practices for hypothesis development, metric selection, test structure, and results communication.
- Apply advanced causal inference methods when experimentation is not feasible and to inform test design and prioritization.
- Help define and contribute to centralized experimentation frameworks, tools, and documentation.
- 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 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 for Sony products.
- May be eligible for a bonus package.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
