Mirakl Labs Inc. logo

Data Scientist - AI Marketplace Platform

Job Overview

Location

Bordeaux, France

Job Type

Full-time

Category

Data Science

Date Posted

April 14, 2026

Full Job Description

đź“‹ Description

  • • As a Data Scientist at Mirakl Labs, you will prototype, iterate, and deploy algorithms that directly impact 450+ global retailers and 100k+ third-party sellers, driving revenue growth, operational efficiency, and transaction security through data-driven innovation.
  • • Your day-to-day responsibilities include analyzing and preparing data, prototyping machine learning models, deploying them into production with Data Engineers and development teams, creating monitoring dashboards, presenting results in weekly team meetings, and collaborating cross-functionally to refine use cases and integration.
  • • You will join Mirakl’s Data team of 60+ professionals within a global leader in marketplace technology, operating from offices in Paris or Bordeaux with one day of remote work per week, contributing to a culture grounded in collaboration, execution, excellence, expertise, and client success.
  • • This role offers the opportunity to work on cutting-edge AI applications—including anomaly detection, sentiment analysis, demand forecasting, and AI agents—using a modern stack of Python, TensorFlow, PyTorch, Spark, Databricks, AWS, and more, while gaining autonomy, visibility, and impact across international e-commerce platforms.

Skills & Technologies

Python
Go
AWS
TensorFlow
PyTorch
Data Science
Remote

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Mirakl Labs Inc. logo
Mirakl Labs Inc.
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About Mirakl Labs Inc.

Mirakl Labs provides a cloud-native marketplace platform that enables retailers, manufacturers and wholesalers to launch and scale online marketplaces. The company offers software for catalog management, seller onboarding, order orchestration and payment processing, along with AI-driven tools for fraud detection and product recommendations. Founded in Paris in 2011, it serves global enterprises across B2C and B2B sectors, integrating with existing e-commerce stacks via APIs and pre-built connectors.

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