Data Scientist
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Role details
Tech stack
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Job description
Ideal candidate has a scientific background with strong experience in statistical modeling, Machine Learning projects development, and applying these to production AI systems.
Mains responsibilities :
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Lead development of new data science and machine learning solutions.
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Develop or maintain LLM agent capable of querying Ubisoft structured and unstructured data
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Collaborate with other Ubisoft data stakeholders (IT, Analytics, Engineers…) to ensure the feasibility of our projects
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Support the Global Publishing analyst and data scientist for everything related to API or Agent services deployment
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Improve and optimize our in-production ML or AI solutions in collaboration with ops and productions from recommendation system (direct to players solutions) to business LLM agents (analytics knowledge solutions)
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Bring leadership and enthusiasm around personalized solutions and ML/Gen AI technology
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Promote Ubisoft available Gen AI agent or copilots usage and best practices to relevant audiences
Requirements
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Background in computer science or data engineering
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Passion for video games
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Good notion of Agent deployment especially in a governed data environment
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Good notion of Data Governance and security compliance
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Proficiency working with Python or Scala and Spark or similar languages
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Experience working with lakehouse data platforms (Databricks, Snowflake…) and Cloud storage and compute solutions (Big Query, Azure, AWS)
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Experience with collaborative development tools like GitLab and CI/CD practices
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Good understanding of machine learning and AI models
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Proficient with ML Ops best practices and processes
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Good communication skills
Benefits & conditions
Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your transportation pass is paid by the company, lunch vouchers (9€/day), healthcare for you and your family, and lots of Ubisoft additional perks. Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks. Our office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building.
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