Data Scientist, Apple Pay Marketing (Machine Learning Research)

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k
This role $210k
$109k most similar roles pay here $290k

This role pays more than 71% of similar roles. Most pay $126,800–$215,587 — the shaded band above. At the midpoint, this role pays about $210k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Data Scientist, Apple Pay Marketing (Machine Learning Research)

As an experienced Data Scientist joining Apple’s Pay Marketing team, you will lead the reimagining of marketing measurement and optimization strategies for Apple Pay. Your role involves designing and implementing advanced marketing mix models and causal inference pipelines to quantify marketing effectiveness and inform budget allocation decisions. You will build incrementality tests and apply sophisticated ML techniques like segmentation and propensity modeling to identify customer response patterns and optimize audience strategies. Collaborating with cross-functional teams, you will define success metrics and deliver data-driven recommendations while leveraging Generative AI and LLMs to accelerate insight generation and streamline analytical tasks. Essential skills include hands-on experience in marketing science, proficiency in Python and SQL, and strong communication abilities to convey complex insights effectively to diverse stakeholders. This role demands expertise in large-scale datasets and a deep understanding of the marketing and media landscape, enabling you to tackle significant business challenges at scale.

What you'll do

  • Design and implement marketing mix models to quantify marketing effectiveness and inform budget allocation decisions.
  • Build and execute incrementality tests to provide actionable campaign recommendations based on complex results.
  • Apply advanced ML techniques like segmentation and propensity modeling to identify customer response patterns for audience strategy.
  • Architect production-grade ML models and workflows that support ongoing marketing measurement and optimization.
  • Leverage Generative AI and LLM-based tools to accelerate insight generation and automate reporting workflows.

What we're looking for

  • Hands-on experience with marketing mix models and causal inference pipelines.
  • Proven ability to design and execute rigorous marketing experiments.
  • Proficiency in applying machine learning techniques to large-scale datasets.
  • Strong programming skills in Python and relevant data science libraries.
  • Advanced SQL skills for querying and analyzing massive datasets.
  • Familiarity with Generative AI and integration into daily analytical workflows.
  • Exceptional communication skills, presenting complex data insights clearly.

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