Accelerator - Digital Lead Data Scientist - All Genders

Location: Paris

Remote Working: 2 days remote working, 3 days on-site

About the Job

Join our innovative Accelerator R&D Team at Sanofi as a Digital Lead Data Scientist. At Sanofi, we’re dedicated to delivering next-gen healthcare that meets the needs of patients and customers. Utilize data insights and AI responsibly to challenge the status quo and develop AI solutions that benefit the patients of tomorrow. Your role will involve leading the deployment of AI/ML solutions with robust lifecycle management.

Main Responsibilities

• Define and enhance how Data Science accelerates Sanofi’s digital products by understanding the patient journey and tailoring interventions to maximize patient benefit.
• Engage with external data partners to evaluate and build relationships for acquiring and accessing real-world data assets.
• Utilize data analysis, visualization, storytelling, and technology to scope, define, and deliver AI-based data products to accelerate and optimize R&D.
• Work effectively with diverse data sources including unstructured data, omics, wearable device data, imaging data, electronic health records, social media, and operational data.
• Create interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs.
• Build models, algorithms, simulations, and performance evaluations using state-of-the-art machine learning technologies.
• Train and assist team members on data organization and analysis techniques.

About You

Experience

• Proven experience in developing deployable code and deploying models in an agile, product-focused environment.
• Excellent team management and articulation skills.
• Experience in a healthcare company is a strong plus.

Soft Skills

• Ability to work with multiple teams to drive alignment and results.
• Strong skills in business analysis, data visualization, and data storytelling.

Technical Skills

• Proficiency in core data science languages (such as Python, R, Scala) and familiarity with various database systems (e.g., SQL, NoSQL).
• Expertise with sensitive data in critical environments (healthcare, defense, etc.).
• Expert analytics within areas like supervised learning, unsupervised learning, deep learning, reinforcement learning, and more.
• Comfortable working in cloud environments (e.g., AWS, GCP, Databricks).
• Hands-on AI/ML modeling experience and a robust understanding of theoretical foundations of AI/ML technologies (CI/CD, Orchestration).
• Knowledge of business intelligence tools such as Tableau, Power BI, Plotly.
• Experience with enterprise-level APIs and database mining, big data, and large-scale virtual screening techniques.
• Understanding of AI regulations.

Education

Master's Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a related quantitative discipline OR PhD + 3 years of relevant work and domain experience.

Languages

Fluency in English.

Why Choose Us?

• Collaborate with a world-class team in a highly supportive environment.
• Contribute to a leader in healthcare and digital transformation, shaping the future of global health.
• Experience numerous opportunities for career growth, whether through promotions or lateral moves, domestically or internationally.
• Enjoy a comprehensive rewards package that acknowledges your contributions.
• Benefit from a broad range of health and wellbeing programs, including high-quality healthcare and at least 14 weeks of gender-neutral parental leave.
• Play a key role in establishing best practices within our manufacturing facilities.

Pursue Progress. Discover Extraordinary.

At Sanofi, progress doesn’t happen without people – diverse individuals from various backgrounds, locations, and roles, all united by a shared drive to make miracles happen. Be part of this journey. Embrace new ideas and explore the many opportunities we offer. Together, let’s pursue progress and discover extraordinary.

Sanofi is an equal opportunity employer,