Pour les employeurs
Accelerator - Digital Data Scientist - All Gender
Sanofi
il y a un mois
Date de publication
il y a un mois
S/O
Niveau d'expérience
S/O
Temps pleinType de contrat
Temps plein
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.

Accelerator - Digital Data Scientist - All Gender

Location: Paris

Remote working: 2 days remote working, 3 days on site

About the job

Sanofi is committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Accelerator R&D as Digital Data Scientist and you can help make it happen. Your job? Challenge the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow by being an influencer and leader in deploying AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management.

At Sanofi, we currently have great opportunities to join our R&D Accelerator. You will have a chance to help build our Digital R&D products by developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence. This is a great role for someone who is analytical, creative, curious, with strong attention to detail. In return we offer you the opportunity of working in an innovative environment helping Sanofi build better solution.

Main responsibilities:

  • 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 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 deliver AI/ML solutions.

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 molecule-related problems.
  • Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired.
  • Expertise with sensitive data in critical environments (healthcare, defense,...)
  • Experience in a healthcare company is a strong plus

Soft skills:
  • Experience working with multiple teams to drive alignment and results
  • 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, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
  • 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)
  • Knowledge of Tableau, Power BI, Plotly 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

Why choose us?

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

  • Engage in meaningful work that combines the challenges of the medical, pharma, 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.
  • Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences.

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 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!
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RÉSUMÉ DE L' OFFRE
Accelerator - Digital Data Scientist - All Gender
Sanofi
Paris
il y a un mois
S/O
Temps plein