Senior Data Scientist

Job description

About Sanofi:  

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. 

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives. 

Who You Are:  

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 and optimization 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 and optimization solutions while working across different technologies and in a cross-functional environment. 

Our vision for digital, data analytics and AI  

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI-first organization. This means: 

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AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. 

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Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. 

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World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets 

There are multiple vacancies for this role at various levels and seniority. Further assessments will be completed to determine specific function and level of hired candidates.     

Job Highlights:   

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

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Build models, algorithms, and simulations by writing highly optimized code and using state-of-the art machine learning technologies. 

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Work with developers, engineers, and MLOps to deliver production-ready AI/ML solutions. 

Key Functional Requirements & Qualifications:  

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Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML. 

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Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization 

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Experience developing deployable code and deploying models in product-focused development under an agile environment 

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

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Experience in production-ready software development 

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Excellent written and verbal communication, business analysis, data visualization and data storytelling skills 

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A demonstrated ability to work and collaborate in a team environment 

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Nice to have:  

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Experience in writing optimization models (linear programming, mixed-integer programming, etc.) using Python or other programming languages.  

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Experience developing optimization models using open-source packages (Pyomo, PuLP etc.) or optimization solvers (Gurobi, CPLEX etc.), or Supply Chain Guru, etc.  

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Experience in life sciences and healthcare and experience in a complex global organization 

Key Technical Requirements & Qualifications:  

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PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills and 2+ years of hands-on data science/analytics experience, OR Master’s Degree in relevant domain with 6+ years of data science/analytics experience 

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Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL) 

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Disciplined AI/ML development (CI/CD, Orchestration) 

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Knowledge of Tableau, Power BI, Plotly or similar 

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Experience with various enterprise-level Application Programming Interfaces (APIs) 

Preferred qualifications:  

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Experience working in the Tech industry or technology consulting  

· 
Experience in pharmaceutical or industrial industries 

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.