Subscriptions & Commerce Data Scientist – Austin


Job Overview

Key Qualifications

  • Deep dives in large-scale data to identify key insights that inform product improvements and business strategy
  • Develop, improve, and execute on experimental measurement plans for new subscriptions and commerce products and features
  • Employ sophisticated analytic tools like A/B testing and causal modeling to accurate understand the effect of multiple and often interrelated initiatives
  • Engage with business, engineering, product management teams as a thought partner to develop design and operational improvements
  • Build and maintain positive relationships with key partners across the company to successfully deliver measurable insights
  • Partner with other Apple organizations on data gathering, data governance, redefining data with reporting tools and evangelizing critical metrics
  • Description

    5+ years of professional experience in data science or product analytics. Preferably for a digital subscription business or e-commerce platform.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 in 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 Ability to partner with the data engineering and business intelligence teams to run workflows, design requirements, and establish project roadmap to ensure consistent data availability, quality, and accessibility 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 in a related field preferred

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