Data Scientist – Applied AI​/Gen AI

We’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.

• Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects.
• 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.

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.

• Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
• 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. AWS, GCP, Databricks, Apache Spark).
• Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
• A demonstrated ability to work and collaborate in a team environment.

• Nice to have:
  Experience in life sciences and healthcare and experience in a complex global organization.

• MS – mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills – preferred. BS – required.
• 4+ years of analytical experience – required.
• Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, No
  
  SQL).
• Disciplined AI/ML development (CI/CD, Orchestration).
• Knowledge of Tableau, Power BI, Plotly or similar.
• Experience with various enterprise-level Application Programming Interfaces (APIs).

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• 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.

This position is for a current vacant role that is now open for applications.

“Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences,…