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Sanofi

Global pharma company; vaccines and R&D

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLyon, France

About the Job

Requirements

  • 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 and deep learning approaches to solve commercial, industrial, or research problems.
  • Experience with database mining, big data, and large-scale virtual screening.
  • Excellent written and verbal communication skills.
  • Experience working with multiple teams to drive alignment and results.
  • Expertise in business analysis, data visualization, and data storytelling.
  • Expertise with core data science languages such as Python and R, and familiarity with database systems such as SQL, NoSQL, graph, and time-series databases.
  • Expertise with sensitive data in critical environments such as healthcare or defense.
  • Expertise in most of the following areas: supervised learning, unsupervised learning, deep learning, large language models, reinforcement learning, federated learning, time-series forecasting, Bayesian statistics, and optimization.
  • Comfort working in cloud and high-performance computing environments such as AWS, GCP, Databricks, and Apache Spark.
  • Hands-on AI and machine learning modeling experience with complex datasets, a strong understanding of theoretical foundations of AI and machine learning, and experience with CI/CD and orchestration.
  • Experience with data visualization technologies and libraries such as Tableau, Power BI, Streamlit, Plotly, and seaborn, or similar tools.
  • Experience with enterprise-level application programming interfaces.
  • Good knowledge of AI regulations.
  • A PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, or a Master's degree in a relevant domain.
  • English and French language skills.

Responsibilities

  • Work with business teams to understand requirements and translate them into technical needs.
  • Apply data science expertise in machine learning, deep learning, statistics, forecasting, and optimization to multiple AI projects and products.
  • Gather and organize large and complex data assets, perform relevant analysis, and propose and implement 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.
  • Conduct machine learning experiments and deliver 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 teams to industrialize and deliver scalable AI and machine learning solutions.
  • Participate in and contribute to the global data science community of practice.
  • Be accountable and responsible for the robustness of the AI solution.
  • Apply responsible AI frameworks and governance best practices, including monitoring, explainability, trustworthiness, and ethics.
  • Mentor junior data scientists and analysts, providing guidance in career development and technical growth.

Desired Qualifications

  • Experience in a healthcare company is a strong plus.
  • Experience in IoT and time-series forecasting is a plus.

About the Company

Sanofi

Global pharma company; vaccines and R&D

Sanofi is a global pharmaceutical and biotechnology company that develops, manufactures, and sells prescription medicines, over-the-counter products, and vaccines. Its products span immunology, oncology, rare diseases, and vaccines, addressing unmet medical needs through a strong focus on research and development. Sanofi's core product model relies on large-scale R&D, strategic partnerships, and licensing to bring new therapies to markets, with revenue generated from product sales and collaborations. The company differentiates itself by leveraging its global reach, diverse portfolio, and emphasis on patient-centric solutions, safety, and quality to navigate regulatory environments in developed and emerging markets. The company’s goal is to improve health outcomes and quality of life for people worldwide by delivering innovative treatments and vaccines that meet unmet medical needs.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1973

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