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Senior Data Scientist

  • Job type: Permanent
  • Location: Frankfurt am Main
  • Salary: £70000 - £90000 per annum
  • Job reference: sendatsci
  • Sector: BI & Big Data, Glocomms
  • Date posted: 25/07/2017
Job Title: Data Scientist

Roles & Responsibilities

  • The Data Scientist will be key to growth based on their capacity to drive projects rather than being forced into a box.
  • The data scientist will hold the  capacity to grow new project areas
  • Conduct advanced data analysis to provide actionable insights, identify trends, and measure performance.
  • Use data mining and analytical expertise to explore and examine data from multiple diverse sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem.
  • Develop and contribute to algorithms for modelling and predicting customer behaviour, create technical demos, and influence the go-to market strategy by category, business unit and customer segment.
  • Research best practices, conduct experiments and collaborate with industry leaders.
  • Visualize data to tell compelling stories.
  • Collaborate with the team to improve the effectiveness of business decisions by using large datasets.
Your profile
  • Master’s degree with a technical focus or equivalent experience in a similar role
  • Demonstrated technical ability and willingness to pick up new technologies and techniques
  • Highly independent
  • Have proven experience delivering value
  • Clear communication and analytical skills; this means the ability to work with a varied set of tasks over complex data sets and provide clear communication to different business stakeholders
  • Strong experience/knowledge of visualisation tools (e.g. Tableau, QlikView, R, Excel)
  • Strong experience/knowledge of database and NoSQL technologies (PostgreSQL, Oracle, MySQL, Mongo, Hadoop)
  • Working experience as a data scientist
  • Experience in programming real-time stream analytics and complex event
  • processing
  • Extensive knowledge in statistics, machine learning and data mining
  • Experience in MapReduce/Hadoop, unstructured big data analytics
  • Experience working in a complex enterprise data environment would be considered an advantage but not essential

Should this opportunity be of interest to you, or should you like to discuss in more detail please call Emily Bancroft on +41 (0) 445421275 or email to

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