Data Scientist - Audience Analytics H/F - Ubisoft

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin's Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you're passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!
As a Data Scientist at Ubisoft Paris, you will help transform player and audience data into actionable insights that support business and marketing decisions across Ubisoft's game portfolio. You will work closely with international stakeholders to develop machine learning models, deliver audience analytics, and support data-driven initiatives throughout the lifecycle of our games.What you'll doDevelop data science initiatives that support business goals and improve audience understandingBuild and deploy machine learning models to predict player behaviors, including churn, engagement, and audience segmentationDesign and evaluate advanced analytical approaches such as scoring, attribution, and behavioral modelingAnalyze player and customer data to generate clear and actionable insightsCreate and maintain datasets, dashboards, and analytical tools using data science and analytics platformsPartner with marketing and business teams to understand objectives and translate needs into analytical projectsRecommend methodologies and data solutions adapted to business use casesPresent findings and support stakeholders in applying data-driven recommendationsContribute to the continuous improvement of team methodologies and best practicesCollaborate with cross-functional teams including Marketing, CRM, Finance, Media, and Research

What you bring to the teamExperience working with Python and SQLKnowledge of machine learning, statistical modeling, and AI methodologiesExperience developing and deploying analytical or predictive modelsFamiliarity with Databricks and lakehouse data environmentsUnderstanding of generative AI and large language model applicationsStrong data interpretation and problem-solving skillsCollaborative communication and presentation skillsAbility to translate complex data into practical business recommendations