Job Description
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: we respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes, from small app developers to global brands. Because when advertising is done right, it benefits everyone.
The Client Insights team partners with advertisers to maximize the value of Apple Ads through advanced analytics, machine learning, insights pilots, and data-driven recommendations.
As a Machine Learning Data Scientist on this team, you'll combine advanced analytics, machine learning, and statistical modeling to develop client insights that influence advertiser strategy. Working closely with Sales, Marketing, Product, Engineering, and cross-functional Data Science teams, you'll build scalable analytical solutions and translate complex analyses into strategic recommendations for customers and executive stakeholders.
Examples of work include:
- Develop and pilot client-specific insights with strategic customers.
- Identify opportunities and recommendations that support advertiser business goals.
- Design and evaluate advertiser experiments.
Preferred Qualifications
Master’s or PhD in a quantitative discipline.
Deep understanding of digital advertising, marketing science, marketplaces, or consumer technology.
Expertise in statistical modeling, experimentation, causal inference, forecasting, or optimization.
Familiarity with advertising measurement, attribution, incrementality testing, or Media Mix Modeling.
Understanding of search engine marketing, app-install advertising, agency ecosystems, and mobile measurement partners
Strong business judgment and a track record of connecting analytical findings to customer strategy.
Minimum Qualifications
Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience.
5+ years of experience in Data Science, Machine Learning, Analytics, Quantitative Research, Consulting, Business Analytics, or a related field.
Strong Python and SQL skills for analyzing large, complex datasets.
Strong foundation in statistics, experimentation, machine learning, and analytical problem solving.
Experience working directly with clients or senior business stakeholders to solve ambiguous problems and deliver data-driven recommendations.
Exceptional communication skills with the ability to translate complex analyses for technical, business, and executive audiences.
