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Accelerator - Digital Data Scientist - All Gender

TN France

Paris

Sur place

EUR 50 000 - 80 000

Plein temps

Il y a 12 jours

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Résumé du poste

A leading company in healthcare is seeking a Digital Data Scientist in Paris. This role involves applying advanced data science techniques to develop AI solutions that drive impact in the medical and pharmaceutical sectors. Candidates should possess a PhD or Master's in a quantitative field and have strong skills in machine learning and data analysis. Join a diverse team committed to innovation and progress in digital transformation.

Prestations

Collaborative work environment
Opportunities for growth and impact
Diverse and inclusive organization

Qualifications

  • Experience in deploying machine learning models in a product-focused environment.
  • Proven track record in applying machine learning to solve complex problems.
  • Ability to work collaboratively across multiple teams.

Responsabilités

  • Translate business requirements into technical needs for AI projects.
  • Build and optimize models and algorithms for data analysis.
  • Collaborate with teams to implement AI/ML solutions.

Connaissances

Data visualization
Machine learning
Statistics
Problem solving
Critical thinking

Formation

PhD in quantitative discipline
Master’s degree in relevant field

Outils

Python
R
SQL
NoSQL
Tableau
Power BI

Description du poste

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Accelerator - Digital Data Scientist - All Gender, Paris

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Client:

Sanofi

Location:

Paris, France

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

fd55a2e49a8b

Job Views:

2

Posted:

22.05.2025

Expiry Date:

06.07.2025

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Job Description:

Accelerator - Digital Data Scientist - All Gender

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, perform analysis, and propose data models for each business case.
  • Build models, algorithms, simulations, and experiments using optimized code and state-of-the-art machine learning technologies.
  • Conduct ML experiments and deliver production-ready models.
  • Use data analysis, visualization, storytelling, and data technologies to scope, define, and deliver AI-based data products.
  • Collaborate with developers, engineers, and MLOps teams to implement AI/ML solutions.

Experience:

  • Experience developing deployable code and deploying models in an agile, product-focused environment.
  • Proven track record applying machine learning/deep learning to solve molecule-related problems.
  • Experience with database mining, big data, virtual screening, Bayesian Optimization, or Gaussian Processes is desirable.
  • Expertise with sensitive data in healthcare, defense, or similar environments.
  • Experience in healthcare is a strong plus.
  • Ability to work with multiple teams to drive results.
  • Self-motivated, proactive, problem solver, critical thinker.

Technical skills:

  • Expertise in business analysis, data visualization, and storytelling.
  • Proficiency with core data science languages (Python, R, Scala) and database systems (SQL, NoSQL).
  • Knowledge in supervised/unsupervised learning, deep learning, LLMs, reinforcement learning, Bayesian stats, optimization.
  • Comfortable with cloud and high-performance computing (AWS, GCP, Databricks, Spark).
  • Hands-on experience with AI/ML modeling, CI/CD, orchestration.
  • Knowledge of Tableau, Power BI, Plotly, or similar tools.
  • Experience with enterprise APIs.
  • Understanding of AI regulations.

Education:

  • PhD in a quantitative discipline (mathematics, CS, engineering, physics, statistics, economics) with coding skills, or Master’s degree in a relevant field.

We offer a collaborative environment with opportunities to work with a world-class team. You will:

  • Engage in meaningful work at the intersection of medical, pharma, and technical fields, with growth and impact opportunities.
  • Contribute to a healthcare leader and pioneer in digital transformation.
  • Be part of a diverse, inclusive organization valuing different backgrounds and experiences.

Progress relies on people from diverse backgrounds, locations, and roles, united by a shared goal: making miracles happen. Join us in driving change, embracing new ideas, and exploring opportunities. Let’s pursue progress and discover the extraordinary together.

At Sanofi, we are committed to equal opportunities for all, regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Watch our and check out our Diversity, Equity, and Inclusion initiatives at !

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