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Data Scientist - AI Marketplace Platform

mirakl.com Logo

Mirakl

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Location:
France , Paris

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As part of our Data Science team (50+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams. The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions.

Job Responsibility:

  • Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
  • Analyze and prepare data, prototype algorithms
  • Put them into production in collaboration with Data Engineers and development teams
  • Create dashboards to illustrate the relevance of algorithms and monitor production
  • Present results at weekly data science meetings and participate in team brainstorming sessions
  • Liaise with other teams to refine use cases, user experience, and integration methods

Requirements:

  • Background in machine learning, mathematics, computer science (or a related field)
  • 3 years of experience in a similar position
  • Significant experience in applied ML in a business setting
  • Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
  • Proficient in Python, Tensorflow, and/or PyTorch
  • Pragmatic, data-driven, and business-oriented with good team spirit
  • Like to take ownership of your projects and are curious
  • Have a positive attitude: respect and kindness are part of your values

Additional Information:

Job Posted:
January 15, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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