Lead Data Scientist (Big data team)


  • Company_icon Exact Solutions Kft.
  • Location_icon Budapest
  • Mentés
  • Az álláshirdetés ma lejár
About the company

Our client is the world's leading mobile telecommunications company. We are looking for a lead data scientist within the Group Commercial, Big Data team in Budapest.

  • Acts as the principal technical expert in the operating company, identifying opportunities to make a commercial difference and leads the development of analytics initiatives to meet business requirements
  • Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
  • Develops analytics products to solve real business problems, taking account of user needs and technology and operational landscape
  • Collaborates with a range of stakeholders in order to deliver commercial value
  • Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Big Data Analytics community
  • Supports the prioritisation of both internal and external data assets and works with technology in setting key requirements for data sourcing.
  • Experience in Big Data analytics & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment
  • Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
  • Comfortable communicating progress and outcomes to business stakeholders using relevant language
  • Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, R, SAS, SciPy, Tableau, GIS)
  • Master’s or Bachelor’s (or equivalent) in Quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering
  • Proficient in statistical packages and ML libraries (e.g. R, Python SciPy and NLTK, Spark MLlib, SAS)
  • Familiar with leading visualisation tools (e.g. Tableau, Qlikview)
  • Familiar with implementing data transformations and algorithms in common programming languages
  • Strong communication skills with prior experience communicating analytics results to senior management
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