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 Business Development & Commerce Data Science Manager - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200219994 / Latpro-3771873 
Date posted: Feb-05-2021
State, Zip: California, 95014

Description

Business Development & Commerce Data Science Manager

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Feb 4, 2021

Role Number: 200219994

At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences. If you are a self-motivated, high-energy individual who is not afraid of challenges, we're looking for you. Apple is seeking a Business Development & Commerce Data Science Manager to join a team passionate about Data Science & Analytics for Apple Media Products (AMP), covering the App Store, Apple Music, Apple TV, Apple Fitness, Apple One, and other services. This role provides the opportunity to work on one of the largest online stores in the world covering billions of online transactions! A successful candidate will help drive growth across AMP by using analytic insights to evolve our business partnerships and commerce platform. Specifically, this role will help evaluate new commerce features and improvements to size and measure the impact to the AMP businesses. The team's culture centers around rapid iteration with open feedback and debate along the way, plus strong collaboration with business, product, and engineering partners. We encourage independent decision-making and taking smart risks. AMP collaborates with executives and various partners across product, design, engineering, and business teams. Our mission is to drive innovation at Apple through in-depth quantitive research of the App Store, Apple Music, Apple TV, Apple Fitness, Apple One, and other services.

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 platform Coordinate 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



Requirements

See job description

 

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