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.
A Data Science Lead (Commercial Performance) will provide expert data science capabilities and develop of AI / ML models for Sanofi’s digital transformation and data products focused on commercial business use cases.
This responsibility includes working closely with data business leaders and data scientist colleagues to develop and deploy the most appropriate data science applications.
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 Science Lead Responsibilities :
Lead data science area deliverables for digital products / programs / initiatives including the allocation of work within the team, monitors the quantitative and qualitative achievements of the team, and reports results.
Use commercial domain understanding to positively change Sanofi businesses needs and enhance performance by modeling data problems and building analytical solutions & products.
Apply in-depth experience with both statistical and modern data science approaches, including unsupervised, supervised, and regression algorithms.
Apply 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 experiments to delivering production-ready models.
Work with developers, engineers, and DevOps to deliver AI / ML solutions for new products / services.
Essential experience :
Bachelor’s Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline and 6+ years of analytical experience in an industrial or commercial setting.
Coordination of the delivery of AI / ML solutions for commercial business use cases (finance, sales, operations).
Experience AI / ML modelling 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).
Disciplined AI / ML development (MLOps, CI / CD).
Experience in coordination of delivery teams and providing feedback to their management.
Excellent written and verbal communication, business analysis, and consultancy skills.
Desirable experience :
Master’s or PhD degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with at least 4+ years of industry experience.
May also have expertise in advanced statistical modelling, or broader aspects of mathematics such as optimization or deep ML expertise e.g NLP, imaging.
A track record of publishing relevant predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
Experience in life sciences and healthcare.
Experience in a complex global organization.
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.