Job Description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Sony Interactive Entertainment LLC seeks a Sr. Analyst, Product Analytics in San Mateo, CA to support the planning and rollout of large-scale testing strategies, including segmentation, global holdouts, and longitudinal studies. Requires a Master’s degree in Business Analytics, or related field or equivalent, and three (3) years of experience developing and deploying machine learning modeling for user segmentation, behavior prediction, and fraud detection using Random Forest, Gradient Boosted Trees (XGBoost), Logistic Regression, K-Means, DBSCAN, Latent Class Analysis, and association rule mining; designing and analyzing experiments across A/B testing, multivariate testing, frequentist frameworks, and Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure through stratified sampling and CUPED adjustment; performing causal impact measurement and competitor analysis using quasi-experimental methods including Synthetic Control Models, and time-series techniques including Difference-in-Differences, Interrupted Time Series, Bayesian Structural Time Series models, Seasonal-Trend Decomposition, and Rolling Regression; building and maintaining dashboards using Tableau/DOMO to integrate ETL processes; troubleshooting technical configurations, managing data pipelines, validating metrics, and supporting experimentation scalability; utilizing digital user behavior and monetization analytics, including online customer journeys, website conversions, payment-related user interactions, retention analysis, churn modeling, and marketing return on investment (ROI); applying data mining and behavioral segmentation techniques to uncover patterns that drive product, marketing, and revenue optimization decisions; and utilizing Python, R, SQL, Adobe Analytics, Customer Journey Analytics, and cloud-based data platforms including Databricks, Data Ocean, Redshift, AWS S3, MongoDB, data catalog and Postgres to manage and analyze large-scale datasets. Telecommuting and/or working from home may be permissible pursuant to company policies. Sony is an EOE.

Salary range: $175,013.00 – $248,900.00/year

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

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.

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