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Senior data scientist - computer vision

CDI
Paris
Salaire : Non spécifié
Télétravail non autorisé

Pandascore
Pandascore

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Le poste

Descriptif du poste

To facilitate PandaScore’s growth, we are looking for a data scientist to work on our computer vision engine.

As PandaScore’s senior data scientist, you will:

  • Train deep learning models (CNN like, Yolo like, GANs etc.) to extract data in real time from streaming platforms.
  • Find clever ways to create relevant datasets (we have people in-house to help us on data labelling though).
  • Integrate your models in our computer vision engine and maintain them.
  • Track relevant KPIs and take the good decision based on them.
  • Drive the R&D forward at Pandascore by doing technological survey and suggesting new algorithms in order to improve our product.
  • Build and maintain the tools you will need in order to achieve your goals.

What’s in it for you 🎁

  • Gaming room (PS4, PCs, Switch)
  • Video game credits 🤘
  • Central office in Paris (Ⓜ️Bonne Nouvelle)
  • Other usual perks (health insurance, transportation participation, lunch coupon)
  • Work in a fast-paced, high-growth industry with innovation as our motto

Join us! 🤝

  • CDI
  • Paris, 40 rue de l’échiquier
  • Start ASAP

Profil recherché

What do you need? 💪

  • PhD or MSc in computer vision, deep learning, mathematics or a related field
  • Experience with Python and data science frameworks (Tensorflow, Pytorch, Scikit-learn)
  • 3+ years of experience as a data scientist
  • Strong experience with computer vision in an industrial context
  • Interest in esport

In short, you are: 😇

  • A team player: You are a good communicator, reliable, respectful. You help people and learn from them.
  • Rigorous: You care about details that actually matters.
  • Data-driven: You know how to make data talk to take the good decision.
  • Metrics-driven: You know which metric to pick for your problem, how to track it and act accordingly.
  • Autonomous: You can move forward on your tasks alone while asking for help or advise to the good person at the good moment.
  • Product-oriented: You focus on the short term and long term outcomes for the product.

Bonus points 👌

  • You like automation.
  • You already have some experience with real-time infrastructures.
  • You are a gamer and love e-sports.

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