Data Scientist
Core
Design, build, and maintain production machine learning models and AI products for player personalization, decisioning, and engagement within live game operations.
Role type
Senior IC applied data scientist (gaming)
Builds
Personalization engines, recommendation systems, propensity models, Next Best Action frameworks, and AI agent workflows for player retention.
Domain
Gaming / Live Operations / Player Analytics
Deliverable
production ML models
Required skills
Python (production-grade), SQL, scikit-learn, LightGBM, PyTorch, Spark ML, Databricks, Snowflake, Git
Preferred skills
Marketing decisioning platforms (Adobe, Salesforce, Pega, Braze), AI agent architectures, LLM-based agents, API development, model-serving endpoints
Responsibilities
Design and deploy ML models influencing player retention; contribute to personalization and decisioning systems; support AI agent architecture development; translate stakeholder needs into pragmatic solutions; collaborate with engineers and product teams.
Seniority
Senior, hands-on IC