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Accelerator Data Scientist (Lyon) Job Opening In Lyon – Now Hiring Sanofi Group


Job description

**_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:**

+ 5 to 8 years' 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

**_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

**Pursue** **_Progress_** **.** **Discover** **_Extraordinary_** **.**

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.

You can be one of those people.

Chasing change, embracing new ideas and exploring all the opportunities we have to offer.

Let’s pursue progress.

And let’s discover extraordinary together.

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 (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) !

**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 (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) !

Global Terms & Conditions and Data Privacy Statement (https://www.sanofi.com/en/careers/global-terms-and-conditions/)

Sanofi is dedicated to supporting people through their health challenges.

We are a global biopharmaceutical company focused on human health.

We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering.

We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.

With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe.

Discover more about us visiting www.sanofi.com or via our movie We are Sanofi (https://youtu.be/96EwNjb1TLo)

As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life.

We are constantly moving and growing, making sure our people grow with us.

Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.

All in for Diversity, Equity and Inclusion at Sanofi - YouTube (http://www.youtube.com/watch?v=SkpDBZ-CJKw&t=2s)

Required Skill Profession

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sanofi Group adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying France laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Lyon. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Accelerator Data Scientist (Lyon) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Sanofi Group interview tips for Accelerator Data Scientist (Lyon)

Here are some tips to help you prepare for and ace your Accelerator Data Scientist (Lyon) job interview:

Before the Interview:

Research: Learn about the Sanofi Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Final Thought:

To prepare for your Accelerator Data Scientist (Lyon) interview at Sanofi Group, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sanofi Group's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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