Senior ML Data Scientist, Apple Pay Analytics

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k

This role $214k

$135k $293k

below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $177,300–$243,600 — the blue band above. At the midpoint, this role pays about $214k versus about $210k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3552 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2742 roles with salary data.

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At a glance

TL;DR · Senior ML Data Scientist, Apple Pay Analytics

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The Senior ML Data Scientist, Apple Pay Analytics joins the Wallet, Payments & Commerce Analytics organization to shape the future of the Apple Pay business. In this role, you will serve as a strategic partner to senior leaders, translating complex business challenges into clear analytical approaches. You will develop time series forecasting models to predict critical business KPIs and revenue trends while applying machine learning techniques to identify growth drivers. Key responsibilities include building GenAI applications for automated insights, designing models to interpret A/B test results, and creating analytical frameworks for executive leadership. You must possess expertise in SQL, R, or Python, along with data visualization tools like Tableau. The work involves solving strategic problems within the payments and fintech domain using regression, classification, and clustering.

Skills

Machine Learning Python SQL R Time Series Forecasting GenAI Statistical Modeling Tableau Regression Classification Clustering Data Visualization Data Science

What you'll do

Develop time series forecasting models to predict critical business KPIs, revenue trends, and adoption patterns.
Apply machine learning techniques to identify growth drivers and quantify the impact of business initiatives.
Build analytical frameworks combining statistical modeling and ML to provide forward-looking insights for executive leadership.
Translate complex forecasting results and ML analyses into clear business narratives to inform strategic decisions.
Build GenAI applications to automate insight generation and improve data quality processes.
Design ML models to automate A/B test interpretations and recommend optimal experimental designs.
Turn complex business challenges into clear analytical approaches to measure performance and identify growth opportunities.

What we're looking for

5+ years of demonstrated experience in a Machine Learning Engineer role.
Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
Expertise with SQL, R, or Python and data visualization tools such as Tableau.
Experience with time series forecasting and ML techniques (regression, classification, clustering) for business analysis.
Proven ability to translate complex analysis into clear business narratives and influence cross-functional teams.
Demonstrated ability to work as a strategic thought partner in a fast-paced analytical environment.
Experience in an Analytics and Strategy role, preferably in the payments/fintech domain (preferred).
Master’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences (preferred).