This position is no longer available.

Data scientist - odds

Permanent contract
Paris
Salary: Not specified
No remote work

Pandascore
Pandascore

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Questions and answers about the job

The position

Job description

To facilitate PandaScore’s growth, we are looking for a data scientist.

As PandaScore’s data scientist, you will:

  • Create statistical and machine learning models for different esport predictions.
  • Integrate your brand new models in our odds engine and maintain it.
  • Implement innovative algorithms to allow our trading team to adjust the odds while keeping a consistent pricing.
  • Research new approaches to optimize the performance of all models and data science processes.
  • Build 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

Preferred experience

What do you need? 💪

  • PhD or Master in statistics, data science, mathematics or a related field
  • 3+ years of experience as a data scientist
  • Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics)
  • Experience forecasting sport or esport events
  • Experience with Python (Tensorflow, Pytorch, Scikit-learn)
  • 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.

Want to know more?

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