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# Senior Data Scientist - Experimentation & Measurement New

- **Company:** Sony Interactive Entertainment
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Salary:** $178,900.0 - $268,300.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Data Mining, Video Game Development, Python (Programming Language), Machine Learning, SQL Databases, Tools for Reporting
- **Published:** October 15, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/sony-interactive-entertainment/senior-data-scientist--experimentation-measurement/363519

## About the Role

* Bachelor's degree or equivalent.
 * 5+ years of experience in a data science experimentation-focused role (3+ with 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.
Preferred Requirements:

 * Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
 * Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

## Description

* Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), 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.