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 workplace 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

Strong 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 (Winnipeg)
🏢 Sanofi
📍 Winnipeg