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 applied data scientist (gaming/AI)
Builds
Production ML models, recommendation engines, propensity scoring systems, Next Best Action frameworks, and AI agent architectures for player engagement.
Domain
Gaming industry, live operations, player behavior analytics, and AI/ML.
Deliverable
production ML models
Required skills
Python (production-grade), SQL, machine learning frameworks (scikit-learn, LightGBM, PyTorch, Spark ML), cloud data platforms (Databricks, Snowflake), version control (git), model deployment.
Preferred skills
Personalization engines, recommendation systems, marketing decisioning platforms (Adobe, Salesforce, Pega, Braze), AI agent architectures, LLM-based agents, API development, model-serving endpoints.
Technologies
Python, SQL, scikit-learn, LightGBM, PyTorch, Spark ML, Databricks, Snowflake, Git, MLflow, Delta Lake, Snowflake Cortex, Databricks Genie.
Responsibilities
Design and maintain deployed ML models; contribute to personalization and decisioning systems; support AI agent architecture development; translate stakeholder needs into pragmatic solutions; collaborate with engineers and analysts to integrate models.
Seniority
Mid-to-Senior, hands-on IC