Apple Music Content Data Scientist – Austin


Job Overview

Key Qualifications

  • Experience working with large-scale data and modern tools to identify key insights that inform product improvements and business strategy
  • Ability to develop, improve, and execute on experimental measurement plans for new products and features
  • Comfort employing sophisticated analytic methodologies like causal modeling to quantify the effect of multiple initiatives
  • Desire to engage with business, engineering, product, and editorial teams as a thought partner to develop design and operational improvements
  • Passion for working in a collaborative, iterative environment to help drive Apple Music’s success
  • Description

    5+ years of professional experience in data science or product analytics. Strong passion for applied empirical analytics, data mining, and predictive analytics to develop impactful insights Mastery in SQL-based languages, and proficiency large-scale data languages such as PySpark Experience measuring user experience behavior, customer engagement, and business impact using sophisticated and appropriate analytic tools Strong proponent of experimental test and design, and practical experience with interpreting observational results Experience with data visualization tools such as Tableau for full-stack data analysis, insight synthesis, and presentation Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams Excellent time management skills with the ability to operate under tight deadlines! Be a self-starting, driven, accountable, and a high-energy teammate

    Education & Experience

    – Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field (Masters preferred) – Experience working in a music-related field highly desirable

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