Data Scientist GenAI
Role details
Job location
Tech stack
Job description
Travailler chez Mirakl, c'est accélérer votre carrière aux côtés de collègues ambitieux, passionnés et solidaires. Nous sommes fiers de la diversité des parcours, des perspectives et des expériences qui rendent nos équipes uniques.
Nos 5 valeurs guident notre façon de collaborer :
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Travailler dur ensemble : le travail d'équipe et la collaboration sont les fondements de notre succès
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Aller au bout des choses : nous privilégions l'action et l'efficacité pour obtenir des résultats percutants
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Aller au-delà des attentes : nous relevons les défis de manière proactive et visons toujours l'excellence
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Réussir grâce à l'expertise : le partage de connaissances et l'apprentissage continu sont au cœur de notre culture
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Satisfaire et responsabiliser les clients : nous nous engageons à assurer la réussite de nos clients, 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. As for remote set-up it would be:
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4 days worked from our offices per week
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A day worked remotely per week
We're hiring on a permanent contract (CDI), based in our Paris or Bordeaux office, 1 day remote per week. As part of our Data team (60+ people), you will work on:
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, * 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
Requirements
- You have at least 4 years' experience as a Data Scientist, with strong hands-on NLP and applied ML in industry
- You've deployed Machine Learning algorithms to production
- You know NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers). Knowledge of the latest LLMs is a plus
- You're fluent in Python and TensorFlow and/or PyTorch
- You have experience with Spark development
- You're pragmatic, data-driven, and business-oriented
Benefits & conditions
- You take full ownership of your topics, work autonomously, and are a great team player
- You bring a positive mindset: respect and kindness are core to your values
- You enjoy sharing your work through internal talks, conferences, or writing