Job Details

Data Scientist — Wallet, Payments & Commerce

Austin, Texas, United States

Software and Services

Summary

Posted: Aug 27, 2025

Weekly Hours: 40

Role Number: 200617965-0157

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.

Description

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.

Responsibilities

• 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.

Minimum Qualifications

• 3-5 years of experience in data science, business analytics, or BI.

• Ability to extract meaningful business insights from data and identify the stories behind the patterns.

• Understanding of statistical concepts and practical experience applying them (in anomaly detection, forecasting, causal inference, NLP etc.).

• Expert level SQL with advanced Snowflake performance tuning expertise.

• Python development experience with pandas and NumPy.

• Communication skills for presenting complex quantitative analyses to senior business executives.

• Bachelor's degree required in quantitative field (Data Science, Applied Econometrics, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, or related).

Preferred Qualifications

• Strong critical thinking and interpersonal skills with the ability and desire to learn and evaluate new technologies.

• Self-directed and proactive. You thrive in an ambiguous and fast-paced environment.

• Advanced degree (Master’s/PhD) preferred in quantitative field (Data Science, Applied Econometrics, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, or related 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.