Build deployable machine learning models for Sanofi in Toronto, combining production software development with cloud and high-performance computing expertise.
As a Data Scientist, you will develop AI/ML solutions for Sanofi’s analytics projects and data products. The work spans supervised and unsupervised learning, deep learning, forecasting, optimization, and other stated methods. You will partner with developers, engineers, and MLOps in an agile, hybrid environment requiring three onsite days weekly.
Key Responsibilities: Develop models, algorithms, simulations, and experiments
Deliver deployable code and production-ready machine learning models
Scope and define AI-based data products
Analyze, visualize, and communicate data-driven findings
Work with developers,



engineers, and MLOps teams
Requirements: Four or more years of analytical experience
Bachelor’s degree required; master’s degree preferred
Solid AI/ML theoretical foundations and complex-data modeling experience
Cloud or high-performance computing experience, including AWS or Spark
Knowledge of CI/CD, orchestration, APIs, and visualization tools
Bring machine learning modeling, cloud computing, and production software expertise to Sanofi’s hybrid Data Scientist position in Toronto.

#J-18808-Ljbffr

📌 Machine Learning Data Scientist Sanofi (Ontario)
🏢 Sanofi
📍 Ontario