Data Scientist - Forecasting
Core
Develop machine learning models and insights to drive personalized player experiences, inform commercial decisions, and optimize the player lifecycle (acquisition, retention, monetization) for PlayStation.
Role type
Senior IC data scientist (forecasting & predictive modeling)
Builds
Production ML models for churn prediction, purchase propensity, store recommendations, and customer lifetime value (CLV) within the gaming ecosystem.
Domain
Gaming / Entertainment / Consumer Technology
Deliverable
production ML models
Required skills
predictive modeling, Python, SQL, machine learning techniques (regression, tree-based models, clustering), data manipulation, statistical analysis
Preferred skills
deep learning, sequence-based methods, MLOps, distributed data processing (PySpark), experience in gaming/e-commerce/subscription products
Technologies
Python, SQL, PySpark
Responsibilities
Own end-to-end development of ML models for player behavior use cases; translate business problems into modeling approaches; work with large-scale behavioral and transactional data; collaborate with engineering, product, and commercial stakeholders; communicate findings to technical and non-technical audiences.
Seniority
Senior, hands-on IC
