Data Scientist
Core
Design, build, and maintain machine learning models and AI products deployed in production to create measurable value for players and the business, focusing on personalization, decisioning, and AI agent architectures.
Role type
Senior IC Data Scientist (Applied ML / AI Products)
Builds
Production ML models, personalization engines, recommendation systems, decisioning frameworks, and AI agent workflows for player engagement.
Domain
Gaming / Entertainment / Consumer Digital Products
Deliverable
production ML models
Required skills
Python (production-grade), SQL, Machine Learning frameworks (scikit-learn, LightGBM, PyTorch, Spark ML), Cloud data platforms (Databricks, Snowflake), Model deployment and management
Preferred skills
Personalization engines, recommendation systems, player decisioning frameworks, Marketing decisioning platforms (Adobe Marketing Cloud, Salesforce, Pega, Braze), AI agent architectures and agentic workflows
Technologies
Python, SQL, scikit-learn, LightGBM, PyTorch, Spark ML, Databricks, Snowflake
Responsibilities
Design and maintain ML models and AI products in production; Contribute to personalization and decisioning systems (recommendation engines, propensity scoring, Next Best Action); Support development of AI agent architectures and automation workflows; Translate stakeholder needs into pragmatic solutions; Collaborate with data engineers and product stakeholders to integrate models.
Seniority
Mid-Senior, hands-on IC