Lead Data Scientist: ML/GenAI for Gaming (Paris)

Ubisoft; Saint-Mandé; Sur place; EUR 60 000 - 100 000; Plein temps

Avantages offerts par ce poste

Profit Sharing

Yearly company saving plan

25 days paid time off

12 additional paid days off

50% of transportation pass paid by the

Lunch vouchers

Healthcare for you and your family

Ubisoft office in Saint Mandé with gym

Résumé du poste

Ubisoft Entertainment is seeking a Data Scientist to lead business and marketing solutions powered by ML/AI models and agents. You will partner with operations, productions and business stakeholders to ensure fast, data-driven decisions.

Based in Paris, you will drive development of data science solutions, oversee agent deployments, and collaborate across IT, Analytics and Engineering to realize scalable AI systems.

Qualifications

• Background in computer science or data engineering.
• Passion for video games.
• Experience deploying agents in governed data environments.
• Good knowledge of Python/Scala and Spark or similar languages.
• Experience with lakehouse data platforms and cloud storage/compute.
• Understanding of ML models and ML Ops practices.
• Familiarity with GitLab and CI/CD processes.

Responsabilités

• Lead development of new data science and ML solutions.
• Develop or maintain an LLM agent querying Ubisoft data.
• Collaborate with IT, Analytics, Engineers for project feasibility.
• Support API or Agent services deployment for the Global Publishing team.
• Improve and optimize in-production ML/AI solutions with Ops/Productions.

Connaissances

Python

Scala

Spark

ML/AI development

ML Ops

Data governance

Databricks

BigQuery

Azure

AWS

GitLab

CI/CD

Outils

Databricks

Snowflake

BigQuery

Azure

AWS

GitLab

CI/CD tooling

Description du poste

Ubisoft Entertainment is seeking a Data Scientist to lead business and marketing solutions powered by ML/AI models and agents. You will partner with operations, productions and business stakeholders to ensure fast, data-driven decisions.

Based in Paris, you will drive development of data science solutions, oversee agent deployments, and collaborate across IT, Analytics and Engineering to realize scalable AI systems.