Equativ
Equativ

Senior Data Scientist (at Kamino Retail)

CDI
Paris
Télétravail fréquent
Salaire : Non spécifié
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Equativ
Equativ

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Le poste

Descriptif du poste

Kamino Retail (powered by Equativ) stands at the forefront of retail media innovation as a pioneering SAAS platform. We equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results. Join us in shaping the future of retail media through innovation, collaboration, and strategic prowess. ‍

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Your mission 👇

You will join the newly formed data team based in Paris and be responsible for designing the first deep-learning algorithms that will make our products smarter. Our platform processes billions of logs a day and feeds a data mart that spreads its usage across all our teams. We deploy our data products on a Kubernetes cluster that orchestrates Python jobs alongside a ClickHouse cluster.

You will have the chance to work from the ground up, be free of assumptions and legacy components, in a fast paced and open environment in which you will have a great impact. You will work alongside a data engineer committed to build the required tools and solutions that will enable our algorithms.

What you'll do ✏️

  • Lay down the first ML and statistical components of the data science platform
  • Translate business problems and feature needs to machine learning problems
  • Have a strong impact on model implementation as well as their deployment
  • Implement always-on training pipelines
  • Deploy and monitor models and implement ML good practices

    • About you 💪

  • You have 5+ years of experience in Data Science
  • Product-focused mindset: deliver real models to solve our customers problems
  • Familiarity with deep learning frameworks
  • Knowledge developing performant Python code
  • Understanding of data structures and algorithm complexity

    • Preferred qualifications:

  • Professional experience building models with PyTorch or Tensorflow
  • Previous experience in applying machine learning to solve business problems or personal projects demonstrating your self-learning skills
  • Experience in deploying models on Kubernetes

    • Why Choose Us? If you are a technical professional with a passion for retail media and a desire to play a pivotal role in implementing cutting-edge solutions, we invite you to apply and join our innovative team at Kamino Retail. Shape the future of retail media with us!

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