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.

Job title: Senior Data Scientist - All Genders

• Contract type: Full time
• Location: WeWork - Paris, France
  

ABOUT THE JOB

Who we are in a nutshell

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

Why joining Sanofi Digital

• Executive sponsorship and governance, with newly appointed CDO & leadership team
• Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
• Unique diversity of medical & technical challenges, with mobility opportunities
• Awarded “Top Employers France” 2021

And more specifically, why Accelerator powered by Sanofi

• A new entity launched March 1st to Become the leading Digital Health platform
• A separate location, in WeWork (Paris 75017), 5 minutes' walk away from the future Sanofi HQ location
• Start-up-like streamlined processes to ensure delivery speed
• Focused on end-to-end building the most transformative and profitable products

The products you will work on

We are building next-gen health & digital products, Data Analytics and Artificial Intelligence, including

Digital Health products improving the patient experience and treatment adherence, through innovative digital products (Software as Medical Devices)

• Connected ecosystem solutions such as patients’ glycemic control & full disease management, leveraging connected pens
• Symptoms checking apps able to understand disease and track symptoms
• Remote treatment solutions providing individual recommendations, accessible by anyone, anytime, anywhere
• Personalized care model informed by AI to identify symptoms’ early signals and recommend corrective actions to the patient and the care giver

Omnichannel products supporting multi-channel engagement with healthcare providers & patients

• Multi-channel digital targeting platform to deliver tailored digital campaigns
• Machine learning and predictive analytics to improve engagement (calls, chats) based on feedback
• Recommendation engines for cross selling/up-selling and next-best action delivery to sales reps
• Tailored content delivery based on preference and viewing history

Digital Marketing products optimizing marketing campaign’s reach and impact

• Market analytics tools to understand key dynamics across categories and identify growth/uplift potential
• Strategic allocation tools, able to dynamically model impact of different scenarios and achieve sales targets
• Tactical allocation tools, with built-in ROI response modelling, at “brand x touchpoint level”

You as a Data Scientist

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.

Your key responsibilities will be

• Work with business teams to understand requirements, and translate them into technical needs
• Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple analytics projects
• 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 deliver AI/ML solutions

ABOUT YOU

Key Functional Requirements & Qualification

• Experience developing deployable code and deploying models in product-focused development under an agile environment
• Experience in production-ready software development
• Excellent business analysis, data visualization and data storytelling skills

Key Technical Requirements & Qualifications

• Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g., SQL, NoSQL)
• Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, 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 modelling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
• Knowledge of Tableau, Power BI, Plotly or similar
• Experience with various enterprise-level Application Programming Interfaces (APIs)

Soft and behavioral 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

Your background

• 3-5 years of experience in a data team as Data Scientist
• 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 years of analytical experience
• Track record of applying machine learning/deep learning approaches to solve molecule-related problems
• Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired
• Experience in a healthcare company is a strong plus

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!

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.