Data Scientist
WIND
Athens, Attica, Greece
πριν από 5 μέρες

Description

In WIND we are committed to becoming an outstanding independent telecommunications company in the European market, delivering unique value for money services to our customers.

Our ambitious commitment mobilizes us to keep evolving, to seek out new challenges and to change, without fear, in a creative and empowering environment! All these elements create a high performance culture, characterized by the passion, talent and competencies of our employees.

We see each new colleague as a unique team member and a major investment for our company’s future, and now we are looking for a talented and highly-

motivated CRM Analyst to join a team of bright professionals

Main Tasks :

  • Use advanced analytical & modeling techniques to optimize customer experience, stimulate revenues, reduce churn, determine Next Best Activities and other tasks on Wind’s customer base
  • Mine and analyze data from company databases to support both above- and below-the-line sales activities, as well as overall customer communication and experience
  • Interact cross-functionally with a variety of CRM-internal and other Wind units to identify sales opportunities and / or address other topics
  • Maintain clear and coherent communication, both verbal and written, to understand business requirements and be able to present results to non-
  • analysts in a professional manner

  • Monitor KPIs, support project needs in a timely and efficient manner demonstrating work ownership, accuracy and commitment to quality
  • Review existing practices / techniques used, and lead new methods / approaches of working based on latest global analytical trends and best practices
  • Requirements

    BSc in Statistics, Mathematics / Physics, Computer Science, Engineering or other related discipline or 2+ years’ experience in a similar position

  • A relevant MSc (both Marketing, Business, or Science / Statistics) will be considered a strong asset
  • Strong analytical and problem solving skills
  • Knowledge and experience of data mining tools (e.g. SPSS Modeler, SAS, R) or any coding / programming language (e.g. C, C++, Java, JS, Python, VB etc.)
  • Knowledge and good understanding of databases architecture, including SQL language
  • Familiarity with statistical models and machine learning / AI techniques (e.g. Logistic Regression, Clustering, Factor Analysis, Principal Component Analysis, Social Network Analysis, Time Series, Neutral Networks, Decision Trees etc.)
  • Knowledge of MS Office, primarily Excel and Power Point
  • Experience with distributed / big data tools (e.g. Hadoop, Spark, etc.) will be considered a plus
  • Strong prioritization skills; ability to perform multiple tasks under tight deadlines
  • Strong communication and teamwork / organization skills
  • Strong command of the English language
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