Data Scientist

Role Overview

Join Sanofi Manufacturing & Supply (M&S) as a Data Scientist to work in a vibrant startup environment, developing high-value digital products to accelerate yearly launches of new blockbuster medicines, create best-in-class digitalized factories, and drive manufacturing performance.

What You Will Do

Work with business teams to understand requirements, apply data science expertise in machine/deep learning, gather/organize large & complex data assets, build models, algorithms, simulations, and experiments, and work on full-spectrum of activities from conducting ML experiments to delivering production-ready models.

Why It Might Be a Fit

You will be accountable and responsible for the robustness of the AI solution, apply responsible AI framework and governance best practices, and mentor junior data scientists and analysts providing guidance in career development and technical growth.

Requirements

• Experience developing deployable code and deploying models in product-focused development under an agile environment
• Experience in production-ready software development
• Track record of applying machine learning/deep learning approaches to solve various problems (commercial, industrial, research)
• Experience with database mining, big data, and large-scale virtual screening
• Experience in a healthcare company is a strong plus
• Experience in IoT and timeseries forecasting is a plus
• Expertise in business analysis, data visualization and data storytelling
• Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)
• Expertise with sensitive data in critical environments (healthcare, defense, etc.)
• Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
• Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
• Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
• Experience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar
• Experience with various enterprise-level Application Programming Interfaces (APIs)
• Good knowledge of AI regulations
• PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain

Benefits

• Quality health insurance
• Extended maternity/parental leave (18/14 weeks)
• Enhanced support in case of illness
• Teleconsultation and second medical opinion covered by Sanofi
• 31 days of paid leave + RTT depending on your status
• Remote work up to 2 days/week
• Public transport coverage up to 80%
• Group Savings Plan and PERCOL with employer matching, and PERO
• Internal and international mobility opportunities
• Learning & development opportunities
• Platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.)
• Numerous CSE benefits