.Data ScientistAbout Sanofi: We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.Who You Are: Our vision for digital, data analytics and AI. Join us on our journey in enabling Sanofi's Digital Transformation through becoming an AI-first organization. This means:AI Factory: Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets.Job Highlights: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.Key Functional Requirements & Qualifications:Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.Experience in writing optimization models (linear programming, mixed-integer programming, etc.) using Python or other programming languages.Experience developing optimization models using open-source packages (Pyomo, PuLP etc.) or optimization solvers (Gurobi, CPLEX etc.), or Supply Chain Guru, etc.Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization.Experience developing deployable code and deploying models in product-focused development under an agile environment.Comfortable working in cloud and high-performance computing environments (e.G
