Senior Data Scientist, Apple Ads

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
1 day ago

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How this pay compares to similar roles

Similar $168k
$101k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $126,800–$209,750.

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 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 team at Apple Ads, you will tackle high-impact problems that shape product strategy and enhance business performance across Apple’s advertising platforms. Your day-to-day responsibilities include analyzing large datasets, designing experiments, developing predictive models, defining metrics, and collaborating closely with cross-functional teams to drive data-driven decision-making. You will use Python, SQL, and machine learning libraries to build scalable solutions, communicate findings effectively, and translate complex analytical insights into actionable recommendations for leadership. This role requires a strong background in statistics, econometrics, and machine learning, as well as experience working on digital advertising platforms or marketplaces, making it ideal for those passionate about leveraging data to solve real-world business challenges at scale.

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.
  • Contribute to a culture focused on experimentation, continuous learning, and rigor.

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.
  • Effective communication skills for both technical and non-technical audiences.
  • Background in statistics, experimentation, causal inference, and problem-solving.

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