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Statistician/Data Scientist

Ramat Gan · Full-time · Intermediate

About The Position

Dragontail Systems is the leading B2B company of revolutionary optimization software for the food and delivery industry with global presence.

Recently joined YUM! Brands, a company with over 52,000 restaurants in more than 150 countries and territories primarily operating the company’s restaurant brands – KFC, Pizza Hut, Taco Bell and The Habit Burger Grill.

What you get to do in the role:

You will be working on the flagship product of Dragontail called “Algo”. It is a scheduling and optimization engine that synchronizes the preparation of orders with takeaway and deliveries for reducing delivery and waiting times.

You will lead the initiative on how to utilize the data to bring additional value to the business.

Your daily work will include:

  • Explore and visualize data, identify anomalies and unusual events,
  • Build statistical models for parameters required for the optimization and scheduling engine.
  • Use the data to investigate human behavior in industrial kitchens.
  • Build predictive models for delivery times using time series and tabular data.

You will work closely with software developers building the optimization engine, product owners and the operation team and you will be supported by the data science team.

Requirements

  • 3+ years analyzing data (time series/tabular) and building statistical models
  • 3 years of experience on training and evaluating regression and classification models e.g. polynomial regression, decision trees, SVM
  • Programming experience: Python (preferred), R, SQL, Julia, Go (other languages are also well regarded)
  • Knowledge and experience on predictive analytics e.g. labor and sales forecast -advantage
  • Knowledge on Bayesian modelling – advantage

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