At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Data Team as Lead Data Scientist and you can help make it happen. Your job?
You are a dynamic Lead 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 DSC/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.
We are seeking an experienced Lead Data Scientist to coordinate our data science initiatives. This role involves leading and coordinating the development and deployment of data science and optimization solutions, guiding a team of talented data scientists and engineers, and collaborating with cross-functional teams to drive innovation and deliver cutting-edge advanced analytics projects.
Main responsibilities: Team Leadership: Lead, mentor, and manage a team of data scientists and analysts. Foster a collaborative and innovative team environment.Strategic Planning: Develop and implement data science strategies aligned with business goals. Collaborate with senior management to identify opportunities for leveraging data to drive business solutions.Project Management: Oversee data science projects from conception to deployment. Ensure timely delivery and adherence to project goals and standards. Analyzing existing operations to identify risks and redundancies.Model Development: Design, build, and deploy predictive models and machine learning algorithms to solve complex business problems. Work with business stakeholders, developers, engineers, and MLOps to deliver DSC/ML solutions.Data Analysis: Conduct thorough data analysis to derive actionable insights. Communicate findings to stakeholders in a clear and concise manner.Data Governance: Ensure data quality and integrity. Develop and enforce data governance policies and practices.Collaboration: Work closely with cross-functional teams, including engineering, product development, marketing, and operations, to integrate data science solutions into business processes. Collaborate with internal and external stakeholders, including data scientists, legal teams, ethicists, and regulatory bodies, to align AI initiatives with governance standards.Innovation: Stay updated with the latest trends and advancements in data science and machine learning. Propose and implement innovative solutions to improve business outcomes.About you Degree or master's degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master's Degree in relevant domain with 7+ years of analytical experience. Strong experience in optimization and operations research – valuable with Manufacturing and Supply Chain applications.
Proficiency in programming languages such as Python, R, and SQL.
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Excellent problem-solving skills and the ability to translate complex data into actionable insights.
Communication Skills: Strong verbal and written communication skills. Ability to present complex information in an understandable manner to non-technical stakeholders.
Leadership Skills: Proven ability to lead and mentor a team. Strong project management and organizational skills.
Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML and 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) and in CICD frameworks (Git, Github) and proven track record of successfully leading DSC projects from conception to deployment.
Why choose us? 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 and at least 14 weeks' gender-neutral parental leave.
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