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 Data Scientist, Apple Pay Analytics - NYC - New York City, New York, 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: 200191352 / Latpro-3754009 
Date posted: Sep-11-2020
State, Zip: New York, 10001


Data Scientist, Apple Pay Analytics - NYC

New York City , New York , United States

Software and Services


Posted: Sep 11, 2020

Role Number: 200191352

We are looking for a hardworking, passionate and results-oriented individual to join our team and craft the future of Apple Pay. You are analytically skilled and have strong business acumen. You will be a thought partner to the product and business teams, understand their goals and then use your analytical power to surface actionable insights in support of these goals. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.

Key Qualifications

  • 5+ years of recent experience in an advanced data analytics role
  • Experience with defining analytical business requirements, developing measurement plans and working with cross functional teams towards driving site and server instrumentation!
  • Experience measuring customer engagement outcomes with a real passion for improving the customer experience through refining the product with testing and optimizations.
  • Strong business attitude, possessing the ability to condense complex analysis and technical concepts into clear and concise takeaways for business leaders.
  • Excellent presentation, communication and social skills, with strong attention to detail.
  • Proven ability to deal with ambiguity and balance between multiple priorities, to lead high quality work adhering to tight deadlines
  • We seek proficiency with SQL. Experience with big data technologies such as Hadoop and Spark preferred.
  • Proficient with Python or R and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Ability to accurately understand data elements, sources and relationships in business and technical terms.
  • Strong familiarity with multiple platforms, tools, methodologies in data analysis and insight synthesis.
  • Proficient working with predictive and causal problem analysis
  • Prior experience working with financial products highly desirable


You will play a key role improving the Apple Pay product experience. As a member of the analytics team you will be supporting a product function. You will partner with business owners, understand goals, craft critical metrics and measure ongoing performance. You will use your analytics expertise to uncover new opportunities as well as tune existing features. Your Day to Day Activities will Include: Deep dives in large-scale data to identify key insights that inform product improvements and business strategy. Supervised and unsupervised learning. A/B testing and causal modeling. Define how best to measure and monitor Apple Pay products and features. Engage with business, engineering, product management teams as a thought partner. Build and maintain positive relationships with key partners across the company to successfully deliver impactful insights. Partner with other Apple organizations on data gathering, data governance, redefining data with reporting tools and evangelizing critical metrics.

Education & Experience

Master's degree in Economics, Statistics, Computer Science, Mathematics or relevant field.


See job description


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