Lead Data Scientist — ML & GenAI Solutions (Paris)

Ubisoft Entertainment; Paris (TX); On-site; USD 75,000 - 104,000; Full time

Benefits offered by this job

Profit sharing

Savings plan

Paid time off

Transport benefits

Lunch vouchers

Healthcare for you and family

Parental leave

Job summary

Ubisoft Entertainment is seeking a Data Scientist to lead data science and machine learning initiatives, focusing on ML/AI models and agent applications. The role collaborates with operations, productions, and business partners to ensure fast, data-driven decisions, and is based in Paris.

The ideal candidate has a strong statistical and ML background with experience deploying data-driven solutions in production environments and an interest in gaming.

Qualifications

• Background in computer science or data engineering.
• Proficiency with Python or Scala and Spark.
• Experience with lakehouse data platforms (Databricks, Snowflake) and Cloud storage/compute (BigQuery, Azure, AWS).
• Experience with ML/AI models and ML Ops best practices.
• Good notion of Data Governance and security compliance.

Responsibilities

• Lead development of new data science and machine learning solutions.
• Develop or maintain LLM agent capable of querying Ubisoft structured and unstructured data.
• Collaborate with other Ubisoft data stakeholders (IT, Analytics, Engineers) to ensure feasibility of projects.
• Support the Global Publishing analyst and data scientist for API or Agent services deployment.
• Improve and optimize in-production ML/AI solutions in collaboration with Ops and productions.
• Bring leadership around personalized ML/Gen AI solutions and promote best practices.
• Promote Ubisoft Gen AI agents usage to relevant audiences.

Skills

Python

Scala

Spark

ML / AI modeling

Data governance

Agent deployment

Team collaboration

Cloud platforms

Tools

Databricks

Snowflake

BigQuery

Azure

AWS

GitLab

CI/CD

Job description

Ubisoft Entertainment is seeking a Data Scientist to lead data science and machine learning initiatives, focusing on ML/AI models and agent applications. The role collaborates with operations, productions, and business partners to ensure fast, data-driven decisions, and is based in Paris.

The ideal candidate has a strong statistical and ML background with experience deploying data-driven solutions in production environments and an interest in gaming.