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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Accelerator - Data Scientist (Lyon) - **Company:** Sanofi - **Location:** Lyon County, KS, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Databases, Continuous Integration, Data Mining, Data Presentation, Data Systems, Data Visualization, Python (Programming Language), Machine Learning, NoSQL, Power BI, Software Engineering, SQL Databases, Tableau (Software), Reinforcement Learning, Supervised Learning, Google Cloud, High Performance Computing, Large Language Models, Apache Spark, Deep Learning, Matplotlib, Core Data, Information Technology, Plotly, Machine Learning Operations, Streamlit Framework, Unsupervised Learning, Databricks - **Published:** July 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p6l8slrk6e ## About the Role 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. Experience _About you _ * 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 * Self-motivated, takes initiative * Problem solving & critical thinking Technical Skills * Expertise in business analysis, data visualization and data storytelling * Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries) * Expertise with sensitive data in critical environments (healthcare, defense, etc.) * Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization * Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) * Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration) * Experience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar * Experience with various enterprise-level Application Programming Interfaces (APIs) * Good knowledge of AI regulations, * 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 ## Description * 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 ## Related Videos - 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