Data Scientist

• Work with business teams to understand requirements, and translate them into technical needs
• Apply data science expertise in machine/deep learning, statistics, forecasting and optimization to multiple AI projects/products
• Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
• 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 industrialise and deliver scalable AI/ML solutions
• Participate and contribute to the global data science community of practice
• Be accountable and responsible for the robustness of the AI solution
• Apply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical
• Mentor junior data scientists and analysts providing guidance in career development and technical growth

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.

• Experience developing deployable code and deploying models in product-focused development under an agile environment
• Experience in production-ready software development
• Track record of applying machine learning/deep learning approaches to solve various problems (commercial, industrial, research)
• Experience with database mining, big data, and large-scale virtual screening
• Experience in a healthcare company is a strong plus
• Experience in IoT and timeseries forecasting is a plus

• Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here. 

• Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week 

• Transportation: Public transport coverage up to 80% 

• Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO 

• Professional Development: Internal and international mobility opportunities, learning & development opportunities 

• And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...

We provide a highly open and collaborative environment, with an opportunity to work with a world class team. You will be able to: 

• Learn what it takes to make a service with a truly global reach 
• Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
• Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact
• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health

#LIFRA #LI-Hybrid

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!

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.