Data Scientist

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail. This job offer is accessible to all, regardless of gender.

• Job title: Data Scientist
• Location: Paris
• Work arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)

Main Responsibilities

• Work with business teams to understand requirements, and translate them into technical needs
• Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products
• Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
• Build models, algorithms, simulations, and experiments by writing highly optimized code and using state‑of‑the‑art machine learning technologies
• Work on full‑spectrum of activities, from conducting ML experiments to delivering production‑ready models
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI‑based data products
• Work with developers, engineers, and MLOps to deliver AI/ML solutions

Experience

• 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 health‑related problems
• Experience with content generation using Large Language Models (LLM) is desired
• Experience in a healthcare company is a strong plus

Soft Skills

• Excellent written and verbal communication skills
• Experience working with multiple teams to drive alignment and results
• Service‑oriented, flexible, positive team player
• Self‑motivated, takes initiative
• Problem solving & critical thinking

Technical Skills

• Experience with Retrieval‑Augmented Generation (RAG)
• Designing and implementing RAG pipelines to enhance LLM capabilities with external knowledge
• Fine‑tuning models to combine retrieval results with generative outputs
• Knowledge of Agentic Frameworks
• Building systems where LLMs act as agents capable of reasoning and interacting with APIs/tools
• Familiarity with frameworks like LangChain, or similar agent‑driven architectures
• Prompt Engineering and Few‑Shot Learning
• Crafting effective prompts for specific tasks, leveraging few‑shot and zero‑shot paradigms
• Optimizing prompts for performance, clarity, and reduced token consumption
• Familiarity with LLM evaluation frameworks (e.g., OpenAI Evals, custom metrics)
• Natural Language Processing (NLP) Fundamentals
• Understanding of transformer‑based architectures (e.g., GPT, BERT, T5)
• Knowledge of tokenization, embeddings, and pre‑training/fine‑tuning paradigms
• Building NLP pipelines for text classification, summarization, and entity recognition
• Familiarity with Knowledge Graphs and Semantic Search
• Building and integrating knowledge graphs for structured information retrieval
• Leveraging semantic search for improved accuracy in large‑scale document understanding

Education

• 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

Languages

• English, French

What We Offer You

• A fixed salary over 12 months, supplemented by a short‑term incentive, as well as a collective variable compensation based on Sanofi Group results
• Benefits & Well‑being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, and additional wellness programs
• Work‑Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week
• Transportation: Public transport coverage up to 80%
• Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO
• Professional Development: Internal and international mobility opportunities, learning & development opportunities
• Additional perks: peer‑to‑peer recognition & service exchanges, various CSE benefits