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/AI)
Builds
Personalization engines, recommendation systems, propensity models, Next Best Action frameworks, and AI agent workflows for player retention.
Domain
Gaming / Live Operations / Player Behavior Analytics
Deliverable
production ML models
Required skills
Python (production-grade), SQL, scikit-learn, LightGBM, PyTorch, Spark ML, Databricks, Snowflake, Git (via careerplan.io/jobs/744000153676199-data-scientist-at-ubisoft)
Preferred skills
MLflow, Delta Lake, LLM-based agents, API development, marketing decisioning platforms (Adobe, Salesforce, Pega, Braze)
Technologies
Databricks, Snowflake, PyTorch, LightGBM, scikit-learn, Spark ML, Git, MLflow, Delta Lake
Responsibilities
Design and deploy ML models for player segmentation and propensity scoring; build AI agent architectures for automation; collaborate with engineers and product stakeholders to integrate models into live operations; translate stakeholder needs into pragmatic, scoped solutions.
Seniority
Mid-Senior, hands-on IC
