Data Scientist Lead — AI/ML & LLM Agents (Paris)

Ubisoft Entertainment Inc.; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Profit Sharing

Yearly savings plan

25 paid time off + 12 additional paid

Transportation pass subsidy 50%

Lunch vouchers 9€/day

Healthcare for you and your family

Gym in building

Maternity leave 20 weeks

Paternity leave 7 weeks

Résumé du poste

Ubisoft Entertainment is seeking a Data Scientist to lead business and marketing ML/AI solutions. You will work closely with operations, productions and business partners to ensure fast, data-driven decision making. The role is based in Paris.

The ideal candidate has a strong scientific background with expertise in statistical modeling and production ML systems. You will lead development and deployment of ML/AI solutions and collaborate with multiple data stakeholders.

Qualifications

• Strong background in statistical modeling and ML projects.
• Experience applying ML/AI to production systems.
• Proficiency with Python or Scala and Spark or similar.
• Familiarity with data governance and security compliance.

Responsabilités

• Lead development of new data science and ML solutions.
• Develop or maintain LLM agents querying Ubisoft data.
• Collaborate with IT, Analytics and Engineers to ensure feasibility of projects.
• Support API or Agent services deployment for Global Publishing analytics.
• Improve and optimize in-production ML/AI solutions with ops and productions.
• Promote Gen AI agent usage and best practices within teams.

Connaissances

ML/AI modeling

Python

Scala

Spark

LLM agent deployment

Data governance

Formation

Computer science or data engineering background

Outils

Databricks

Snowflake

BigQuery

Azure

AWS

GitLab

Description du poste

Ubisoft Entertainment is seeking a Data Scientist to lead business and marketing ML/AI solutions. You will work closely with operations, productions and business partners to ensure fast, data-driven decision making. The role is based in Paris.

The ideal candidate has a strong scientific background with expertise in statistical modeling and production ML systems. You will lead development and deployment of ML/AI solutions and collaborate with multiple data stakeholders.