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Sanofi Group Data Scientist in Cambridge, Massachusetts

At Sanofi we are bringing together Data Scientists to propel Sanofi into its digital transformation by deploying Artificial Intelligence throughout its business. Data Science is being driven from an inspiring digital organization with a core mission of data & analytics to drive business insights, to engage with customers and employees, to automate business processes, and to maximize patient impact.

We are seeking a Data Scientist to help to develop AI/ML models for Sanofi’s digital transformation and data products. The successful candidate will have an opportunity to work within and between domains (e.g commercial, customer experience, consumer data, operational, medical, and corporate functions data).

Data Scientist Responsibilities:

  • Apply in-depth experience with both statistical and modern data science approaches, including unsupervised, supervised, and regression algorithms. Advanced techniques such as random forests, neural networks and deep learning.

  • 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.

  • Participate in data science or cross-functional working groups in addressing specific challenges/ad-hoc projects.

Required Experience

  • Bachelor’s Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline and at least 3-4 years of analytical experience in an industrial or commercial setting.

  • Experience AI/ML modeling of complex datasets.

  • Advanced software development skills in at least two of the standard data science languages (such as Python, R, Scala, C++, Julia), and familiarity & flexibility with database systems (e.g. SQL, NoSQL, graph,..).

  • Comfortable working in cloud and high-performance compute environments (e.g. AWS, GCP, Apache Spark).

  • Experience with at least one type of data relevant to global companies e.g. social media, marketing, operational, customer data.

  • Excellent written and verbal communication.


  • Master’s or PhD degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with at least 2+ years of industry experience.

  • May also have expertise in advanced statistical modeling, or broader aspects of applied mathematics such as optimization or deep ML expertise e.g NLP, imaging.

  • A track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.

  • Experience AI/ML development (MLOps, CI/CD).

  • Experience in life sciences and healthcare.

  • Experience in a complex global organization.


We are proud to have been awarded Global Top Employer 2021.

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.