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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Audience Analytics H/F - **Company:** Ubisoft Entertainment. - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Customer Data Management, Data Infrastructure, Data Systems, Python (Programming Language), Machine Learning, Standard Sql, Build Management, Databricks - **Published:** July 9, 2026 - **Apply:** https://www.hellowork.com/fr-fr/emplois/81120526.html ## About the Role 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, * Experience working with Python and SQL * Knowledge of machine learning, statistical modeling, and AI methodologies * Experience developing and deploying analytical or predictive models * Familiarity with Databricks and lakehouse data environments * Understanding of generative AI and large language model applications * Strong data interpretation and problem-solving skills * Collaborative communication and presentation skills * Ability to translate complex data into practical business recommendations ## Description 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 do - Develop data science initiatives that support business goals and improve audience understanding - Build and deploy machine learning models to predict player behaviors, including churn, engagement, and audience segmentation - Design and evaluate advanced analytical approaches such as scoring, attribution, and behavioral modeling - Analyze player and customer data to generate clear and actionable insights - Create and maintain datasets, dashboards, and analytical tools using data science and analytics platforms - Partner with marketing and business teams to understand objectives and translate needs into analytical projects - Recommend methodologies and data solutions adapted to business use cases - Present findings and support stakeholders in applying data-driven recommendations - Contribute to the continuous improvement of team methodologies and best practices - Collaborate with cross-functional teams including Marketing, CRM, Finance, Media, and Research ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)