Accelerator Data Scientist (Paris)

Location: Paris – Hybrid.

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatments to fight pain and ease suffering. Digital and Data are at the heart of Sanofi and we build Digital R&D products that participate in new drug discovery, trial efficiency, and cycle time reduction through Data Analytics and Artificial Intelligence.

Responsibilities

• Gather relevant data from various sources and perform analysis to propose and implement 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.
• Present findings through clear and informative charts, graphs, and dashboards.
• Support senior team members in understanding business requirements and translate them into technical needs.
• Stay updated with the latest trends, tools, and techniques in the field of data science.

Qualifications

Experience:

• Over 3 years of experience handling data science projects in varied business contexts; healthcare experience is a plus.
• Experience developing deployable models and AI solutions.
• Demonstrated ability to perform exploratory data analysis and create visualizations.
• Experience in production‑ready software development.

Soft skills:

• Strong curiosity and eagerness to learn new concepts and technologies.
• Good communication skills, both written and verbal.
• Problem‑solving ability and analytical thinking.
• Attention to detail in data handling and analysis.
• Ability to contribute to a diverse and inclusive team environment.
• Willingness to ask questions and seek guidance when needed.
• Presentation skills for sharing data insights with team members.

Technical skills:

• Strong knowledge of supervised learning, unsupervised learning, deep learning, LLMs, time‑series forecasting, Bayesian statistics, and 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 (e.g., Tableau, PowerBI).
• Awareness of responsible AI principles and AI regulations.
• Knowledge of software development practices and version control (e.g., Git).

Education

• Master’s Degree or PhD in mathematics, computer science, engineering, physics, statistics, or a related quantitative discipline with strong coding skills.

Languages

• English and French.

Equal Employment Opportunity Statement

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Salary range: Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in company benefit programs.