Senior Data Scientist, Apple Ads

Apple Inc

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $210k
$94k most similar roles pay here $291k

This role pays more than 76% of similar roles. Most pay $126,800–$209,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $168k 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 1798 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1459 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, Apple Ads

As a Senior Data Scientist in the Data Insights organization at Apple Ads, you will join a dynamic team focused on leveraging data to understand and optimize advertising performance across Apple’s platforms. Your day-to-day responsibilities include analyzing large datasets to identify opportunities, designing experiments to evaluate product impacts, and developing predictive models to enhance business outcomes. You will work closely with cross-functional teams such as Product, Engineering, Finance, and Sales to define metrics, build scalable analytical frameworks, and provide actionable recommendations based on your findings. The role requires expertise in Python, SQL, and machine learning libraries, along with a strong background in statistics, causal inference, and econometrics. This position offers the opportunity to tackle complex business challenges within a fast-paced digital advertising environment at one of the world’s leading technology companies.

What you'll do

  • Analyze large-scale datasets to identify opportunities and explain business outcomes.
  • Design and evaluate experiments to assess the impact of product changes.
  • Develop statistical models and machine learning algorithms to solve business problems.
  • Define metrics and measurement frameworks for improved visibility into performance.
  • Translate complex analytical findings into actionable recommendations for leadership.
  • Influence strategic decisions through data-driven insights and rigorous analysis.

What we're looking for

  • Bachelor's degree in a quantitative field or equivalent experience
  • Strong SQL and Python skills with proficiency in analytical libraries
  • Experience developing statistical and machine learning models for business problems
  • Ability to translate complex data insights into actionable business recommendations
  • Solid foundation in statistics, experimentation, causal inference, and problem-solving
  • Effective communication skills for both technical and non-technical audiences

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