Senior Data Scientist
Hyderabad, India Permanent Posted on Feb. 06, 2025 Closing on Feb. 28, 2025About 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:
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
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:
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 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
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 of Tableau, 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
Experience in pharmaceutical or industrial industries
Pursue progress. Discover extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com
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Hubs
From Bogota to Budapest, Kuala Lumpur to Hyderabad – it’s your skills that help the Sanofi world go round. With a role in one of our Hubs, you’re right at the heart of our global transformation, as we fearlessly work together to cut the time it gets new treatments to patients. By making the most of your creativity and bringing your unique self you’re supportingyou’ll help others to perform at their best. Let’s make the discoveries that’ll change lives.
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Experience possibility
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Get access to the tools, training, and support to reach your goals. By fulfilling your potential, you’ll help us achieve our aim of halving the time from discovery to therapy.
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