Data Scientist, Apple Services Digital Marketing

Apple Inc

Quick summary

Work type
On-site
Location
Culver City, CA
Salary
$134,800–$203,000 / yr
Posted
31 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $169k
$97k most similar roles pay here $234k

This role pays more than 57% of similar roles. Most pay $126,800–$214,850 — the shaded band above. At the midpoint, this role pays about $169k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Data Scientist, Apple Services Digital Marketing

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Apple Services Digital Marketing team seeks a data scientist to drive consumer feedback analysis at scale, leveraging statistical expertise and machine learning techniques to optimize marketing strategies and enhance product offerings. This role involves building predictive models, conducting causal analyses of marketing initiatives, and integrating diverse data sources to measure funnel impact. The ideal candidate will collaborate with cross-functional teams to deliver actionable insights through advanced analytics, translating complex findings into clear reports for both technical and creative stakeholders. Essential skills include a strong background in probability and statistics, proficiency in SQL and Python or R, and knowledge of digital marketing metrics such as social media, SEO, and paid media data. Preferred qualifications involve experience with marketing measurement frameworks like marketing mix modeling, effective communication across teams, and familiarity with code collaboration tools like Git.

Skills

Python R SQL Git GitHub GitLab Supervised_learning Unsupervised_learning Regression Classification Clustering Decision_trees Neural_networks Digital_marketing Marketing_mix_modeling Attribution_models CI/CD

What you'll do

  • Build and maintain optimization models to enhance campaign performance and identify trends.
  • Conduct causal analysis to evaluate the impact of marketing initiatives across various channels.
  • Design and refine models measuring upper and mid-funnel marketing impact using diverse data sources.
  • Translate complex model outputs into actionable insights for both marketing and product teams.
  • Develop machine learning algorithms to optimize strategy and forecast future campaign performance.

What we're looking for

  • Bachelor’s degree with 3 years of data science experience or Master’s degree in a related field with 2 years of experience.
  • Strong foundation in probability, statistics, and machine learning algorithms.
  • Proficiency in SQL and Python/R for large dataset analysis.
  • Knowledge of digital marketing data, KPIs, and NLP techniques.
  • Ability to design models measuring upper and mid-funnel marketing impact.

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