Data Scientist - Applied AI/Gen AI

• Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects.
• 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.
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.
• Work with developers, engineers, and MLOps to deliver AI/ML solutions.

About You

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

Key Functional Requirements and 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.

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• MS - mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills - preferred. BS - required.
• 4+ years of analytical experience - required.
• 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).

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.