Data Scientist — Wallet, Payments & Commerce

@ Apple

Overview

Every day, millions of people rely on Apple Pay and Wallet to make life simpler, safer, and more connected. Behind each seamless tap is a complex ecosystem that must be reliable, scalable, and trusted. Our mission is to ensure these experiences not only work flawlessly but continue to improve through data, innovation, and system excellence.

Role Description

The Wallet, Payments & Commerce (WPC) Operations Data Science team drives this mission. As a Data Scientist - Wallet, Payments & Commerce at Apple, you will build the intelligence that powers global commerce — from anomaly detection and forecasting to dashboards that guide engineering and operations. Your insights will shape the future of payments and impact millions worldwide.

Minimum Qualifications

• 3-5 years of experience in data science, business analytics, or BI.
• Ability to extract meaningful business insights from data.
• Solid understanding of statistical concepts used in anomaly detection, forecasting, causal inference, NLP, etc.
• Expert level SQL with advanced Snowflake performance tuning expertise.
• Python experience with pandas and NumPy.
• Strong communication skills for presenting complex analyses.
• Bachelor's degree in a quantitative field.

Preferred Qualifications

• Advanced degree (Master’s/PhD) in a quantitative field.
• Proven understanding of machine learning, deep learning, and natural language processing.
• Ability to optimize machine learning models for various challenges.
• Strong critical thinking and interpersonal skills.
• Self-directed and proactive in ambiguous, fast-paced environments.

Key skills/competency

• Data Science
• Wallet
• Payments
• Commerce
• SQL
• Python
• Machine Learning
• Forecasting
• Anomaly Detection
• NLP