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 experimentsDeliver deployable code and production-ready machine learning modelsScope and define AI-based data productsAnalyze, visualize,
and communicate data-driven findingsWork with developers, engineers, and MLOps teamsRequirements:
Four or more years of analytical experienceBachelor’s degree required;
master’s degree preferredStrong AI/ML theoretical foundations and complex-data modeling experienceCloud or high-performance computing experience, including AWS or SparkKnowledge of CI/CD, orchestration, APIs, and visualization toolsBring machine learning modeling, cloud computing, and production software expertise to Sanofi’s hybrid Data Scientist position in Toronto.