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
- Robust 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.

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