Data Scientist (M/F/D) // Hotelplan Group

Hotelplan Group | Berlin, Germany

Date listed

2 months ago

Employment Type

Full time

Keywords: python sql

Hotelplan Group is the leading Swiss tour operator in Europe. We are a diverse team with a passion for delivering enriching travel experiences by developing and deploying innovative machine learning solutions. You will design, develop and drive the implementation of advanced analytics solutions to address complex business problems, in collaboration with data specialists and business experts. About the role

  • Apply advanced statistical and machine learning methods to analyse data from diverse data sources and proactively derive insights which inform decisions across the business
  • Define hypotheses, execute relevant tests and experiments, evaluate and optimize models
  • Summarise and communicate data insights clearly and succinctly to both technical and non-technical stakeholders
  • •Support the deployment and drive the adoption of machine learning solutions
  • Write clean and reproducible code that can be maintained and improved upon and help continuously improve our models and processes
  • Collaborate effectively with business stakeholders as well as data specialists to deliver projects efficiently
About you
  • Proven ability of deriving insights from diverse data sources and translating theminto clear and concise conclusions and recommendations
  • Strong applied statistical skills and coding using SQL, as well as Python or R
  • Ability to explain complex ideas and data insights clearly and succinctly to diverse groups
  • Experience working effectively in cross functional teams
  • Excellent English language skills
What we offer
  • A future-oriented and international environment with a lot of personal responsibility and freedom for innovative ideas
  • Central office location in Berlin/Zürich
  • 5 weeks of vacation and various travel discounts
  • Flexible work location / home office
  • The option to work from abroad (workation) for approximately one month a year

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