Full-Time

Accelerator Senior Data Scientist Deep Learning

Confirmed live in the last 24 hours

Deadline 7/31/25
Sanofi

Sanofi

10,001+ employees

Develops pharmaceuticals and vaccines globally

No salary listed

Senior, Expert

Paris, France

Hybrid

Category
Deep Learning
Data Science
AI & Machine Learning
Data & Analytics
Required Skills
LLM
Power BI
Python
NoSQL
Data Science
R
Apache Spark
SQL
Tableau
AWS
Scala
Databricks
Reinforcement Learning
Google Cloud Platform
Requirements
  • 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.
  • 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 with sensitive data in critical environments (healthcare, defense,...)
  • 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
  • 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
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.
Desired Qualifications
  • 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

Sanofi provides healthcare solutions through its focus on pharmaceuticals and biotechnology. The company develops treatments and vaccines aimed at addressing medical needs in areas like immunology, oncology, and rare diseases. Sanofi's products work by utilizing extensive research and development to create new therapies and improve existing ones, ensuring they meet the needs of patients and healthcare providers. What sets Sanofi apart from its competitors is its strong emphasis on scientific innovation and a diverse portfolio that includes prescription medicines, over-the-counter products, and vaccines. The company's goal is to enhance health outcomes and improve the quality of life for people globally by delivering effective and safe healthcare solutions.

Company Size

10,001+

Company Stage

IPO

Headquarters

Paris, France

Founded

1973

Simplify Jobs

Simplify's Take

What believers are saying

  • Sanofi's acquisition of Blueprint Medicines expands its rare immunological disease portfolio.
  • The FDA approval of Dupixent addresses a large unmet need in dermatology.
  • Sanofi's 20% profit growth in Q1 2025 highlights effective market strategies.

What critics are saying

  • Increased competition in immunology could impact Sanofi's market share.
  • Potential delays in regulatory approvals may affect new product launches.
  • Integration challenges from acquisitions could disrupt operations and delay synergies.

What makes Sanofi unique

  • Sanofi's R&D focuses on unmet needs in immunology, oncology, and rare diseases.
  • The company leverages strategic partnerships to enhance its innovative treatment pipeline.
  • Sanofi's global reach allows it to navigate diverse regulatory environments effectively.

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Benefits

Health Insurance

Professional Development Budget

Parental Leave

Company News

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