Job Description

Locations

• Austin, Texas, United States 78727

Salary

Required Qualifications

• 3-5 years of experience in data science, business analytics, or BI. (experience, 5 years)
• Ability to extract meaningful business insights from data and identify the stories behind the patterns. (experience)
• Understanding of statistical concepts and practical experience applying them (in anomaly detection, forecasting, causal inference, NLP etc.). (experience)
• Expert level SQL with advanced Snowflake performance tuning expertise. (experience)
• Python development experience with pandas and NumPy. (experience)
• Communication skills for presenting complex quantitative analyses to senior business executives. (experience)
• Bachelor's degree required in quantitative field (Data Science, Applied Econometrics, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, or related). (degree in quantitative field)

Preferred Qualifications

• Strong critical thinking and interpersonal skills with the ability and desire to learn and evaluate new technologies. (experience)
• Self-directed and proactive. You thrive in an ambiguous and fast-paced environment. (experience)
• Advanced degree (Master’s/PhD) preferred in quantitative field (Data Science, Applied Econometrics, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, or related field). (degree in quantitative field)
• Proven understanding of machine learning, deep learning and natural language (including LLMs) processing and ability to optimize machine learning models to adapt to solving various kinds of issues. (experience)

Responsibilities

• The Wallet, Payments & Commerce (WPC) Operations Data Science team drives this mission. We combine technical depth with operational insight to measure, diagnose, and improve product performance across billions of transactions. As a Data Scientist, you’ll build the intelligence that powers global commerce — from anomaly detection and forecasting to dashboards that guide engineering and operations. Working with teams across Apple, your insights will shape the future of payments and impact millions worldwide.
• You are a dedicated data scientist who loves working with people across technical and non-technical domains to solve problems and deliver results.
• In this role, you will build models to detect anomalies, forecast outcomes, and apply causal inference to connect system changes to customer and business impact.
• You will design and analyze experiments to guide product and engineering decisions, partner across product, engineering, and operations to embed data-driven thinking into roadmaps, and apply advanced methods — including NLP, LLMs, and GenAI where valuable — to improve diagnostics and partner self-service.
• Most importantly, you will turn complex data into clear, actionable insights that shape how Apple Pay and Wallet evolve at global scale.

Tags & Categories