Lead Data Scientist

FindHotel Published: December 15, 2017


We are looking for a Lead Data Scientist to join FindHotel and help us push our data driven organisation to even higher levels. We are looking for someone with a strong background in machine learning, statistics and programming, and with a proven experience in applying machine learning to real business problems, particularly in the area of travel and e-commerce. The Lead Data Scientist will be leading end-to-end the development of data products that automate decision making in core business processes such as UX and product design, marketing, recommendations, and deal discovery.


People we like:

  • Curious, not afraid to make mistakes and willing to question the status quo.
  • Excellent communication skills.
  • Very strong sense of ownership. You have a can-do attitude and put pride into delivering value to our users and the company.
  • Professional experience building end-to-end data products that produced a measurable impact on business performance metrics, preferably in a startup-like environment.
  • Ability to work with very large datasets.
  • Very good programming skills, preferably in Python.
  • Experience working in an Agile environment.
  • Experience using a variety of scientific computing and modeling tools (Python's data science stack, R, deep learning).
  • Detail oriented, but practical enough to avoid perfectionist pitfalls.

People we love:

  • 2+ years of relevant business experience, preferably in travel or e-commerce.
  • Strong statistical knowledge.
  • Comfortable working with big data technologies for Data Science, such as Apache Spark.
  • Experience leading and coaching a team of data analysts, scientist and engineers.
  • Experience with cloud computing solutions, in particular AWS.
  • Experience working together with data engineers to deploy data products to production environments.
  • Interest and willingness to learn about online marketing and travel.
  • Motivated and driven to take responsibility and succeed in a start-up environment.

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