Business Development & Commerce Data Science Manager

Apple
Apple

Job Overview

Key Qualifications

  • 2+ years of experience in managing data operations or analytics teams – preferably in payments, commerce, or subscription business
  • Strong hands-on experience in ensuring data operations for large-scale data science and machine learning deliverables
  • 4+ years with demonstrable knowledge of data architecture covering scalable schema design, relational and non-relational database technologies, ETL, code management, and query performance optimization
  • Mastery in SQL-based languages, and proficiency in at least one large-scale data languages such as Scala or PySpark
  • Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytic teams
  • Proven ability to work with executive-level stakeholders, peers, and individual contributors across a range of functions
  • Description

    Establish a center of excellence for the Business Development & Commerce Data Science team by uncovering business-actionable insights for customer-facing partnerships as well as service’s commerce platformCoordinate large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives Architect and scale core subscriptions datasets to accommodate new products, features, and initiatives across multiple lines of business Identify and grow the bundling business across subscriptions and understanding the impact of bundling to each of the individual services! Improve the user experience and recovery of payment issues by optimizing the billing retry processes Develop, recruit, and develop a diverse team of high-performing data scientists passionate about uncovering insights from large-scale data across multiple businesses

    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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