Senior Data Scientist - Experimentation & Measurement

SupportFinity™; San Francisco (CA); On-site; USD 178,900 - 268,300; Full time

Job summary

Sony Interactive Entertainment is seeking a Senior Data Scientist to lead experimentation within the Decision Science team. This role involves designing and interpreting experiments, advancing practices by applying statistical methods, and collaborating with product, engineering, and marketing teams.

The ideal candidate will hold a Master's or PhD in Statistics or a related field with at least 5 years of experience in data science. Proficiency in SQL and Python is essential. A strong interest in gaming is a bonus.

Qualifications

• 5+ years of experience in a data science experimentation-focused role (3+ with a PhD).
• Deep expertise in A/B testing and causal inference.
• Proficiency in SQL for data extraction and transformation.

Responsibilities

• Lead design, execution, and interpretation of A/B tests.
• Partner with cross-functional teams to embed experimentation.
• Apply advanced causal inference methods when necessary.

Skills

A/B testing

Causal inference

SQL

Python

Statistical techniques

Machine learning

Education

Master’s or PhD in Statistics, Economics, or Econometrics

Tools

SQL

Python (with statistical libraries)

Job description

Senior Data Scientist - Experimentation & Measurement

Sony Interactive Entertainment | Posted Mar 13

Full-time

San Mateo, CA

Overview

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. This role focuses on advancing experimentation practices by applying statistical rigor, measurement strategies, and deep causal inference expertise to critical initiatives across PlayStation.

What You’ll Be Doing

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives, growth marketing strategies, and campaign performance.
• Partner with cross‑functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
• 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.

Basic Requirements

• Master’s or PhD in Statistics, Economics, or Econometrics. Other quantitative degrees may be considered.
• 5+ years of experience in a data science experimentation‑focused role (3+ 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 and 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.
• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

$178,900—$268,300 USD

Equal Opportunity Statement

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.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.