Role overview
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
What you'll work on
- Gather relevant data from various sources, and perform relevant analysis to propose and implement relevant data models for each business case
- Apply statistical methods and machine learning techniques to extract insights from datasets
- Design, implement and fine-tune AI/ML models using various algorithms and tools
- Presenting findings through clear and informative charts, graphs, and dashboards
- Support senior team members in understanding business teams requirements, and translate them into technical needs
- Staying updated with the latest trends, tools, and techniques in the field of data science
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.
What we're looking for
- Strong knowledge within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, time series forecasting, Bayesian statistics, optimization
- Proficient in Python programming and familiarity with big data concepts and tools
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
- Ability to use standard visualization tools to create reports and dashboards (such as Tableau, PowerBI, etc.)
- Awareness of responsible AI principles and AI regulations
- Knowledge of software development practices and version control (e.g., Git)