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Data Scientist GenAI

Paris, France

À propos de Mirakl :

Fondée en 2012, Mirakl est à l’avant-garde de l’innovation marketplace, permettant à toutes les entreprises de rivaliser dans l’économie de plateforme.
Son operating system combine aujourd’hui des solutions pour :
  • le lancement, la gestion et la croissance d’une marketplace ou d’une activité de dropship (Mirakl Platform)
  • la vente omnicanale alimentée par l’IA (Mirakl Connect)
  • le retail media (Mirakl Ads)
  • le commerce agentique (Mirakl Nexus)
Avec ses sièges à Boston et Paris, Mirakl accompagne un écosystème mondial de plus de 450 clients B2C et B2B et un réseau de plus de 100 000 marques et vendeurs tiers.
Des marques comme Macy’s, Decathlon, Carrefour, Asos et Airbus Helicopters utilisent Mirakl pour réinventer leur approche du commerce.

Pour plus d'informations, rendez-vous sur www.mirakl.com.

Mirakl en chiffres :

  • 🗓️ Fondée en 2012 | Membre de French Tech Next40
  • 👥 Plus de 750 employés répartis dans 9 bureaux à travers le monde : Paris, Barcelone, Bordeaux, Boston, Londres, Munich, New York, Sydney, Tokyo

Nos valeurs :

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 :

  • 💡 Travailler dur ensemble : le travail d'équipe et la collaboration sont les fondements de notre succès
  • 🏆 Aller au bout des choses :  nous privilégions l'action et l'efficacité pour obtenir des résultats percutants
  • 🚀 Aller au-delà des attentes :  nous relevons les défis de manière proactive et visons toujours l'excellence
  • 🎓 Réussir grâce à l'expertise : le partage de connaissances et l'apprentissage continu sont au cœur de notre culture
  • 🤝 Satisfaire et responsabiliser les clients : nous nous engageons à assurer la réussite de nos clients
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.
 
As for remote set-up it would be: 
- 4 days worked from our offices per week 
- 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

What’s in it for you:
  • 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. Join us and keep pushing that pioneer spirit
  • Real autonomy and ownership over your projects


Our stack and tools:

Python, Tensorflow, Pytorch, Hugging Face, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake. Spécifiques LLM : Autotrain, Unsloth, Galileo, LangChain, Anyscale.

 

Day to day, you will:
  • 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

 

You’ll love this job if:
  • 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
  • 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


Meet Arthur Delaitre, Data Science Manager for the team:

Wants to join us ? ⭐
  • A 30-minute phone call with one of our Tech recruiters. We’ll discuss your background, expectations, and what Mirakl can offer you
  • A 30-minute technical Zoom with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
  • A take-home assignment
  • A 75-minute technical debrief and discussion with the Data Science team manager
  • A final 1-hour Zoom with future Mirakl colleagues about our values and culture

Nous recrutons des collaborateurs aux parcours et expériences très différentes pour nous aider à grandir. Ceux-ci dépassent souvent les exigences professionnelles conventionnelles et nous aident à créer une culture d'apprentissage continu. Si vous êtes prêt à rejoindre un leader mondial qui soutient la transformation e-commerce de plus de 450 reatilers et organisations B2B parmi les plus innovants au monde. Nous pouvons utiliser des solutions d'intelligence artificielle (IA) pour rationaliser notre processus de recrutement, notamment pour présélectionner les candidatures, analyser les CV et évaluer les réponses. Si l'IA nous aide à travailler efficacement, toutes les décisions finales en matière de recrutement sont prises par des humains. Pour plus d'information, consultez notre AI Guidelines for Candidates and Interviews.

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Mirakl handles personal data during your recruitment processes. Mirakl is the controller of the personal data, meaning it decides how and why the data is processed. Mirakl takes strong commitment to protecting applicant data and ensuring compliance with privacy regulations during the recruitment process, in particular:

  1. Types of Data Processed: Mirakl collects data such as name, contact details, educational and employment history, and other relevant information provided during the application process.
  2. Purpose of Data Use: The data is used to manage and process applications, communicate with candidates and, upon successful application, to onboard the individual.
  3. Data Access and Sharing: Access to personal data is generally restricted within Mirakl and its affiliates, though some third-party providers might have access to carry out specific functions like reference checks and payroll processing.
  4. Data Retention: Personal data is retained only as long as necessary for the recruitment process or to comply with legal obligations, typically up to two years from the last contact.
  5. Rights of Individuals: Candidates have rights regarding their data, including access, data portability, correction, restriction of processing, and in certain cases, deletion. In addition, they may lodge a complaint with an EU supervisory authority.
  6. Queries and complaints: If you have any questions or wish to exercise your rights, you may fill in this form or directly contact us by sending an email to privacy@mirakl.com.

A full version of Mirakl’s Privacy Policy is accessible, here.