Data Scientist GenAI

About the job

You’ll join our Data Science team, where your main mission will be to prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams. Your projects will focus on Marketplace catalog challenges, including NLP, Computer Vision, and large‑scale Generative AI (custom LLMs). The topics you’ll tackle will have a real impact on our customers: we aim to make the most of our rich, diverse data to grow their revenue, streamline marketplace operations, and ensure user and transaction safety.

Remote set‑up:

• 4 days worked from our offices per week
• 1 day worked remotely per week

Contract: Permanent contract (CDI), based in Paris or Bordeaux office.

Catalog topics

• Automatic rewriting of marketing content based on business needs
• Extracting product attributes from images and free text
• Detecting product variants
• Product categorization
• Automated onboarding of sellers’ products
• Merging product pages from multiple sources
• Predicting trending products

Benefits

• Build algorithms that visibly impact 500+ e‑commerce/marketplace sites in 40 countries, including some with very high volumes (millions of products, customers, and orders per year)
• Work with cutting‑edge techniques (multimodal models, LLM fine‑tuning, etc.). Mirakl is one of the few French players with fine‑tuned LLMs in large‑scale production.
• Real autonomy and ownership over your projects

Day to day responsibilities

• Analyze and prepare data, prototype algorithms
• Put them into production with Data Engineers and dev teams
• Build dashboards to demonstrate algorithm performance and monitor production
• Present results at the weekly data science meeting and join team brainstorms
• Partner with other teams to refine use cases, user experience, and integration paths

Qualifications

• At least 4 years of experience as a Data Scientist, with strong hands‑on NLP and applied ML in industry
• Experience deploying Machine Learning algorithms to production
• Knowledge of NLP and Computer Vision algorithms and state‑of‑the‑art architectures (e.g., Transformers); LLMs knowledge a plus
• Fluent in Python and TensorFlow and/or PyTorch
• Experience with Spark development
• Pragmatic, data‑driven, and business‑oriented
• Full ownership of topics, autonomous work style, and strong teamwork
• Positive mindset with respect and kindness
• Enjoy sharing work through internal talks, conferences, or writing