Data Scientist - SDK Platform

Spotify

What you'll do
    • Work closely with cross-functional teams of data scientists, product managers and engineers who are passionate about our consumer experience across platforms and partners.
    • Surface valuable user behavior insights, from aggregate trends to individual device interactions.
    • Communicate data-driven insights, working with the product team to build strong narratives and direct org-wide investments.
    • Use ML to supervise existing services and build new products personalized by the user ubiquity experience.
    Who you are
      • You have relevant experience, with a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
      • You have strong interpersonal skills and are comfortable working with a cross-functional stakeholder group.
      • You know how to translate business concerns into data problems and come up with relevant answers and impactful insights.
      • Experience with Google BigQuery or proficiency in SQL.
      • Proficiency with Python or R.
      • Experience in data pipeline / workflow development with large datasets (Scala experience preferential).
      • Experience with applied machine learning for clustering, classification, and regression.
      • Experience with statistical modelling (such as time series forecasting and A/B testing).
      • Experience with data visualization and dashboarding (Tableau or Python/R plotting libraries).
      • Experience crafting analytical data layers and in conducting ETL with large and complex data sets.
      • Cloud platform familiarity and competency e.g GCP.
      Where you'll be
        • We are a distributed workforce enabling our band members to find a work mode that is best for them!
        • Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
        • Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located in that time zone.
        • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
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