Data Scientist, Apple Services Digital Marketing

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $141,800–$213,700 / yr
Posted: 31 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k

This role $178k

$121k most similar roles pay here $235k

This role pays more than 52% of similar roles. Most pay $133,175–$215,350 — the shaded band above. At the midpoint, this role pays about $178k versus about $174k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 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 is hiring a data scientist to join their dedicated team at the senior level. This role involves building and maintaining optimization models, experiments, and forecasting algorithms to enhance campaign performance and identify trends for strategic optimization. The successful candidate will conduct causal analysis to evaluate marketing initiatives' impact and design models that measure upper and mid-funnel marketing effectiveness using diverse data sources. They will collaborate with cross-functional teams to propose solutions addressing business needs and translate model outputs into actionable insights for both marketing and product teams. Ideal candidates possess a strong background in statistics, machine learning, and digital marketing data analysis, along with proficiency in SQL and Python or R. Familiarity with marketing measurement frameworks like marketing mix modeling is preferred, as well as experience working with code collaboration tools such as Git.

Skills

Python R SQL Git GitHub GitLab Supervised_learning Unsupervised_learning Regression Classification Clustering Decision_trees Neural_networks Digital_marketing SEO Paid_media Marketing_mix_modeling Attribution_models

What you'll do

Build and maintain optimization models to enhance campaign performance and identify trends.
Conduct causal analysis to assess the impact of various marketing initiatives.
Design and refine models measuring upper and mid-funnel marketing impact using diverse data sources.
Translate complex model outputs into actionable insights for marketing and product teams.
Develop machine learning algorithms to improve digital marketing strategies and brand relevance.

What we're looking for

Bachelor’s degree with 3 years of data science experience or Master’s degree with 2 years.
Strong foundation in probability, statistics, and digital marketing KPIs.
Proficiency in SQL, Python, R for large dataset analysis.
Knowledge of supervised and unsupervised machine learning algorithms.
Ability to build optimization models, experiments, and forecasting algorithms.
Experience in causal analysis and upper/mid-funnel marketing impact measurement.

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