Apply machine learning and NLP expertise as a Data Scientist at Sanofi in Toronto, working hybrid with three required onsite days weekly.

This Data Scientist develops AI solutions across multiple analytics projects within Sanofi’s AI-powered biopharma workplace. You will use statistics, forecasting, optimization, and visualization while working across the full model lifecycle. The work includes experiments, production-ready models, and AI-based data products.

Key Responsibilities:
Apply machine learning, statistics, text-mining, NLP, forecasting, and optimization
Build models, algorithms, simulations, and experiments with optimized code
Conduct machine learning experiments and deliver production-ready models
Use analysis, visualization, storytelling,



and data technologies
Collaborate with developers, engineers, and MLOps on AI solutions

Requirements:
Four or more years of analytical experience
Bachelor’s degree in a quantitative discipline required
Hands-on AI/ML modeling experience with complex datasets
Expertise in Python, R, or Scala and databases
Experience deploying models and developing production-ready software

Use applied AI, NLP, forecasting, and production modeling skills to deliver data products supporting Sanofi’s Toronto-based analytics work.
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📌 Applied Ai Data Scientist Toronto (Canada)
🏢 Sanofi
📍 Canada