Data Scientist
Core
Design, build, and maintain machine learning models and AI products deployed in production to drive player retention, engagement, and business value through personalization and decisioning systems.
Role type
Senior IC Data Scientist (Applied ML / Personalization)
Builds
Production ML models, recommendation engines, propensity scoring systems, Next Best Action frameworks, and AI agent workflows for player engagement.
Domain
Gaming / Entertainment / Live Operations
Deliverable
production ML models
Required skills
Python (production-grade), SQL, Machine Learning (scikit-learn, LightGBM, PyTorch, Spark ML), Databricks, Snowflake, Git
Preferred skills
Personalization engines, recommendation systems, marketing decisioning platforms (Adobe, Salesforce, Pega, Braze), AI agent architectures, LLM-based agents, API development
Technologies
Python, SQL, scikit-learn, LightGBM, PyTorch, Spark ML, Databricks, Snowflake, MLflow, Delta Lake, Git
Responsibilities
Design and deploy ML models for player decisioning and personalization; build AI agent architectures and automation workflows; collaborate with engineers and product stakeholders to integrate models; translate stakeholder needs into pragmatic solutions.
Seniority
Mid-Senior, hands-on IC