Data Scientist

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 Sanofis Digital Transformation through becoming an AI - first organization. This means:

• 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.

• Leading Edge Tech Stack:

  Experience build products that will be deployed globally on a leading-edge tech stack.

• World Class Mentorship and Training:

  Working with renowned leaders and academics in machine learning to further develop your skillsets

Job Highlights:

• Apply data science expertise in machine learning, statistics, text-mining/NLP , forecasting and optimization to multiple analytics projects.
• Build models, algorithms, and simulations by writing highly optimized code and using state-of-the art machine learning technologies .
• Work with developers, engineers, and MLOps to deliver production-ready AI/ML solutions.

Key Functional Requirements & Qualifications:

• 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)
• Experience in production-ready software development
• 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 writing optimization models (linear programming, mixed-integer programming, etc.) using Python or other programming languages.
• Experience developing optimization models using open-source packages ( Pyomo , PuLP etc. ) or optimization solvers ( Gurobi , CPLEX etc. ), or Supply Chain Guru, etc.
• Experience in life sciences and healthcare and experience in a complex global organization

Key Technical Requirements & Qualifications:

• PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, OR MastersDegree in relevant domain with 4+ years of data science/ analytic s experience
• Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems ( e.g. SQL, NoSQL)
• Disciplined AI/ML development (CI/CD, Orchestration)
• Knowledge ofTableau, Power BI, Plotly or similar
• Experience with various enterprise-level Application Programming Interfaces (APIs)

Preferred qualifications

• Experience working in the Tech industry or technology consulting