Data Engineer

Industry: Hospitality
Company size: 11-50

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Job description

A well-funded, exciting startup building a platform that will help restaurant operators recover from the pandemic is looking for a Data Engineer. The engineer will be a huge part of a very small development team, essentially owning the entire predictive analytics strategy of the company. The company’s revolutionary technology aims to tell a restaurant operator what will be sold by the hour over a rolling 21-day look-forward period. This is a great opportunity for developers to experience rapid career acceleration.


Job Responsibilities:

  • Track record of solving problems and delivering data solutions as a part of a larger team
  • Impact the tech team, the business, processes, and the product
  • Establish best practices for the accuracy of the predictive models
  • Identify machine learning models to best suit specific use cases across different
  •  restaurant types and levels of granularity in terms of time and levels of sales (dollars,
  •  categories, items)
  • Segment restaurants into groups and manage models for each group to ensure a baseline accuracy level for new clients
  • Identify and incorporate new data sources to improve the data set and level of accuracy
  • Ensure the continual improvement of the predictive analytics through monitoring and tuning
  • Follow best practices in remote work and in the agile development lifecycle

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a data engineer
  • Prolific knowledge of Data science principles
  • Extensive experience with application development
  • Prior experience working with Machine Learning and related technologies
  • Excellent grasp of source code control using Git
  • Excellent collaborative and communication skills

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