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  • ID
    #52992537
  • Job type
    Part-time
  • Salary
    TBD
  • Source
    Axel Springer News Media National
  • Date
    2024-12-03
  • Deadline
    2025-02-01

data-loving scientist in a great team who wants to lift the subscriber business with us to the next levelyou join our team to improve the growth of our subscriber base through optimized acquisition, retention and winbackyou build and maintain data sets and robust pipelines to feed our dashboards and algorithmsyou validate your ideas by analyzing historical datayou implement models and conduct analyses to find out how to use our data in the best wayyou help us to answer all questions about our customers and their interestsyou are a teacher and learner from everyone in the organization

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