Data Scientist - Audience Analytics
Core
Transform player and audience data into actionable insights to support business and marketing decisions across Ubisoft's game portfolio.
Role type
Data Scientist (Audience Analytics)
Builds
Machine learning models for player behavior prediction, audience segmentation, and analytical tools.
Domain
Gaming / Audience Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, machine learning, statistical modeling, predictive modeling, Databricks, lakehouse data environments, generative AI, large language models
Preferred skills
Data interpretation, problem-solving, translating complex data into business recommendations
Technologies
Python, SQL, Databricks
Responsibilities
Develop data science initiatives supporting business goals; Build and deploy ML models to predict player behaviors (churn, engagement, segmentation); Design and evaluate advanced analytical approaches (scoring, attribution, behavioral modeling); Analyze player and customer data to generate insights; Create and maintain datasets, dashboards, and analytical tools; Partner with marketing and business teams to translate needs into analytical projects; Present findings and support stakeholders in applying data-driven recommendations.
Seniority
Mid-level, hands-on IC
