About the job

At Sanofi Consumer Healthcare, we have one overarching mission - to work passionately, challenging ourselves and our industry every day, to build a healthier future by helping people, help themselves, bringing “Health in Your Hands”.

Our teams are building trusted & loved brands that connect with hundreds of millions of consumers worldwide, enabling better self-care for individuals and communities, while also contributing to a healthier planet. To fulfill this mission, we are embarking our consumers, our customers, healthcare professionals, and our employees in this journey because this is what will make us become the “Best Fast-Moving Consumer Healthcare (FMCH) Company In & For the World”.

We strive to act as a force for good by integrating sustainability along our business and employees’ mission and operate responsibly from both a social and environmental point of view.

To achieve this, we need strong talent who will help us shape the future of our Consumer Healthcare business and challenge our industry. At Sanofi Consumer Healthcare, we aspire to create a work environment where people can thrive, grow, and be at their best every day. Our priority is working with integrity to improve the health and well-being of people and communities where we operate, working towards making a positive impact in the world.

Our Team

Global Digital Team. The team is charged with accelerating the shift to precision marketing and to e-commerce sales, scaling best-in-class data driven decision making tools, capturing new opportunities in the digital health space and uphauling disjointed commercial systems. This team leverages both dedicated expertise internally at Sanofi, and delivery and deployment partners. It builds products, runs service / outsourcing contracts, and develops centers of excellence in technology and digital.

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 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.

Job Highlights:

• Experience Requirement: Seeking candidates with over 5 years of experience in similar roles, indicating a senior position.
• Wide Application of Expertise: Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects.
• End-to-End Process Understanding: Strong understanding of the end2end process, from POC to MLOPS. Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.
• Model Development: Conceptualize, Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies.
• Full Spectrum Activities: Involved in the entire spectrum of activities from ML experiments to delivering production-ready models.
• Collaboration and Communication: Work closely with stakeholders, developers, engineers, and MLOps to deliver 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.
• Establish and drive data hygiene best practice to ensure coherence and integrity of data feeding into production ML/AI solutions.
• Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
• Project management skills focused on data science and machine learning operations.
• 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
• Previous experience developing data science projects for common business areas such as Marketing, Manufacturing and Supply, Finance,…
• Nice to have: Experience in life sciences and healthcare and experience in a complex global organization

Key Technical Requirements & Qualifications:

• Educational Background: PhD 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 6+ years of analytical experience
• Programming Skills: Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL).
• Strong programming experience and repositories experience – interest for continuous improvement.
• Documentation: Experience documenting modeling for technical and business leaders
• CI/CD :
  • Proficiency in implementing CI/CD pipelines specifically designed for data science projects.
  • Experience automating and orchestrating the build, test, and deployment processes for machine learning models and data pipelines.
  • Ability to integrate CI/CD practices into the development workflow to ensure reproducibility, reliability, and scalability of AI/ML solutions.
  • Familiarity with tools and platforms for CI/CD in data science, such as GitLab CI/CD, Jenkins, Azure DevOps, or similar.
  • Understanding of version control best practices and how they apply to data science projects, including managing code, data, and model artifacts.
  • Capability to streamline model versioning, validation, and deployment through automated pipelines, facilitating rapid iteration and deployment cycles.
• MLOPs:
  • Demonstrated experience in implementing MLOps practices to streamline the deployment and lifecycle management of machine learning models.
  • Proficiency in building and managing automated workflows for model training, evaluation, deployment, and monitoring.
  • Ability to integrate machine learning models into existing CI/CD pipelines and production environments, ensuring consistency and reliability.
  • Experience with model versioning, model metadata management, and model performance monitoring in production settings.
  • Familiarity with tools and platforms for MLOps, such as MLflow, Kubeflow, TFX (TensorFlow Extended), or similar.
  • Understanding of infrastructure requirements for deploying and scaling machine learning models in cloud and on-premises environments.
  • Capability to collaborate with DevOps teams to ensure alignment between machine learning and software development practices

• Data Visualization Tools: Knowledge of tools like Tableau, Power BI, Plotly, or similar.
• API Experience: Experience with various enterprise-level APIs for integration purposes.

Given these requirements, the ideal candidate would be a senior data scientist with strong technical skills, extensive experience in AI/ML, excellent communication and collaboration abilities, and a track record of delivering impactful solutions in a cross-functional environment.

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But 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. So, let’s be those people.

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 our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But 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. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!