Job description
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: Lyon Hybrid: 60% office / 40% remote Permanent: Fulltime About the job At Sanofi, we’re committed to transform the practice of medicine through break-through science. Within Sanofi, Manufacturing & Supply (M&S) is the bridge between Science and Patients, ensuring all patients get their dose reliably, that new medicines are launched faster to cover unmet needs and that they can be delivered affordably across the globe. At Sanofi we are convinced that Manufacturing is, and must in the future increasingly be, a competitive advantage and that digital unlocks every next step in that journey. Join Sanofi Manufacturing & Supply (M&S): Where Innovation Meets Life-Saving Impact in the Heart of Lyon! Imagine working in a vibrant startup environment, right in Lyon's bustling city center! 🏙️ Sanofi M&S offers an unparalleled playground at the intersection of drug development, advanced manufacturing, and cutting-edge AI. Here, you'll: Support 12 blockbuster launch teams and 40 global factories across R&D and M&S Work with real-time IoT data from state-of-the-art production and laboratory equipment Contribute to one of the strongest treatment pipelines in biopharma Collaborate with world-class scientists, engineers, and experts driving digital transformation As part of our Digital M&S Accelerator, you'll develop high-value digital products to: 1. Accelerate yearly launches of 3-5 new blockbuster medicines (€1B+ annual revenue each) 2. Create best-in-class digitalized "Lighthouse" factories 3. Drive manufacturing performance to reduce costs by over €500M in the next five years But wait, there's more! 🎉 Your innovative journey takes place in a prime location: Embrace the startup vibe in our cutting-edge office space Enjoy countless amenities right at your doorstep - from nice cafés to restaurants Benefit from excellent public transport connections for an easy commute Experience the perfect blend of work and life in one of France's most dynamic cities Ready to shape the future of biomanufacturing, make a real-world impact on patients' lives, and do it all from an amazing location? Join us in Lyon and be part of something extraordinary! 🚀 Main responsibilities: Work with business teams to understand requirements, and translate them into technical needs Apply data science expertise in machine/deep 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 industrialise and deliver scalable AI/ML solutions Participate and contribute to the global data science community of practice Be accountable and responsible for the robustness of the AI solution Apply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical Mentor junior data scientists and analysts providing guidance in career development and technical growth 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. About you Experience: 5 to 8 years' 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 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 Soft skills : Excellent written and verbal communication skills Experience working with multiple teams to drive alignment and results Service-oriented, flexible, positive team player <
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