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. Job title: Data ScientistLocation: Paris, FranceWork Arrangement: Hybrid (Three days from office and two days from home)About The JobWe are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.We are building Digital Commercial products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.About SanofiWe’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.Main Responsibilities 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 datasetsDesign, implement and fine-tune AI/ML models using various algorithms and toolsPresenting findings through clear and informative charts, graphs, and dashboardsSupport senior team members in understanding business teams requirements, and translate them into technical needsPresenting findings through clear and informative charts, graphs, and dashboardsWhat We Offer YouA fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results.Because taking care of our employees is also our mission: 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, as well as many other wellness programs to discover here. 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 And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits.About YouYou 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.ExperiencePresenting findings through clear and informative charts, graphs, and dashboardsExperience in developing deployable models and AI solutionsDemonstrated ability to perform exploratory data analysis and create visualizations Experience in production-ready software developmentSoft SkillsStrong 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 SkillsStrong knowledge within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, time series forecasting, Bayesian statistics, optimizationProficient in Python programming and familiarity with big data concepts and toolsComfortable 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, Power BI)Awareness of responsible AI principles and AI regulationsPresenting findings through clear and informative charts, graphs, and dashboardsEducationPreferred qualifications: Master’s Degree or PhD in mathematics, computer science, engineering, physics, statistics, or a related quantitative discipline with strong coding skillsLanguages: English, FrenchWhy choose us?Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.Drive meaningful change in a streamlined, AI-powered organization that values smart, modern ways of working.Collaborate with curious minds across borders, functions, and cultures in a fast-paced, purpose-driven environment.Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for Progression.Work in a safe, responsible environment guided by RAISE — our strategy for balancing digital innovation with the right level of risk management for every AI system.