Data Scientist

Posted 17 Days Ago
Be an Early Applicant
Lyon, Rhône, Auvergne-Rhône-Alpes, FRA
Hybrid
54K-73K Annually
Entry level
Healthtech
The Role
Develop and deploy production-ready AI and machine learning solutions for pharmaceutical manufacturing and supply operations. Responsibilities include data mining, statistical modeling, forecasting, optimization, visualization, experimentation, and industrializing scalable models with developers and MLOps teams. The role involves working with IoT and complex datasets, applying responsible AI governance, collaborating globally, and mentoring junior data scientists and analysts.
Summary Generated by Built In

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail. 


This job offer is accessible to all, regardless of gender. 


Job title: Data Scientist

  • Location: Lyon
  • Hybrid: 60% office / 40% remote
  • Permanent: Fulltime

About the job

At Sanofi, we’re committed to transform the practice of medicine through break-through science. Within Sanofi, Manufacturing & Supply (M&S) is the bridge between Science and Patients, ensuring all patients get their dose reliably, that new medicines are launched faster to cover unmet needs and that they can be delivered affordably across the globe. At Sanofi we are convinced that Manufacturing is, and must in the future increasingly be, a competitive advantage and that digital unlocks every next step in that journey.


Join Sanofi Manufacturing & Supply (M&S): Where Innovation Meets Life-Saving Impact in the Heart of Lyon!


Imagine working in a vibrant startup environment, right in Lyon's bustling city center! 🏙️


Sanofi M&S offers an unparalleled playground at the intersection of drug development, advanced manufacturing, and cutting-edge AI. Here, you'll: 


  • Support 12 blockbuster launch teams and 40 global factories across R&D and M&S 
  • Work with real-time IoT data from state-of-the-art production and laboratory equipment 
  • Contribute to one of the strongest treatment pipelines in biopharma 
  • Collaborate with world-class scientists, engineers, and experts driving digital transformation 

As part of our Digital M&S Accelerator, you'll develop high-value digital products to: 

1. Accelerate yearly launches of 3-5 new blockbuster medicines (€1B+ annual revenue each) 

2. Create best-in-class digitalized "Lighthouse" factories 

3. Drive manufacturing performance to reduce costs by over €500M in the next five years 


But wait, there's more! 🎉


Your innovative journey takes place in a prime location: 

  • Embrace the startup vibe in our cutting-edge office space 
  • Enjoy countless amenities right at your doorstep - from nice cafés to restaurants 
  • Benefit from excellent public transport connections for an easy commute 
  • Experience the perfect blend of work and life in one of France's most dynamic cities Ready to shape the future of biomanufacturing, make a real-world impact on patients' lives, and do it all from an amazing location? 

Join us in Lyon and be part of something extraordinary! 🚀


Main responsibilities:

  • 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.


About you

Experience:

  • 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

Soft skills:

  • Excellent written and verbal communication skills
  • Experience working with multiple teams to drive alignment and results
  • Service-oriented, flexible, positive team player
  • Self-motivated, takes initiative
  • Problem solving & critical thinking

Technical skills:

  • Expertise in business analysis, data visualization and data storytelling
  • Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)
  • Expertise with sensitive data in critical environments (healthcare, defense, etc.)
  • Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
  • Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
  • Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
  • Experience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar
  • Experience with various enterprise-level Application Programming Interfaces (APIs)
  • Good knowledge of AI regulations

Education:

  • 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

Languages:

  • English, French

What we offer you: 


A fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results. 


Because taking care of our employees is also our mission:  

  • 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...

Why choose us? 

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

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!

The salary range for this position is :€54,400.00 - €72,533

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.

Skills Required

  • Experience developing deployable code and deploying models in product-focused development under an agile environment
  • Experience in production-ready software development
  • Experience applying machine learning and deep learning approaches to solve business, industrial, or research problems
  • Experience with database mining, big data, and large-scale virtual screening
  • Expertise in business analysis, data visualization, and data storytelling
  • Expertise with Python and R or comparable data science languages
  • Familiarity with SQL, NoSQL, graph, and time-series database systems
  • Experience handling sensitive data in critical environments such as healthcare or defense
  • Expertise in several areas including supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time-series forecasting, Bayesian statistics, and optimization
  • Experience with cloud and high-performance computing environments such as AWS, GCP, Databricks, or Apache Spark
  • Hands-on AI/ML modeling experience with complex datasets and strong theoretical foundations in AI/ML
  • Experience with data visualization technologies such as Tableau, Power BI, Streamlit, Plotly, or seaborn
  • Experience with enterprise-level APIs
  • Good knowledge of AI regulations
  • PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, or a relevant master's degree
  • English and French language proficiency
  • Experience in a healthcare company
  • Experience with IoT and time-series forecasting

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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