Senior Data Scientist, Apple Ads

Cupertino, California, United States Software and Services

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 sponsor ships 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.

As a Data Scientist within Data Insights, you will work on high-impact problems that influence product strategy, business performance, advertiser outcomes, and marketplace health across Apple's advertising platforms. Depending on your area of focus, you may contribute to one or more of the following domains:
Product and Marketplace Insights:
Define measurement frameworks, design experiments, evaluate product and advertiser outcomes, and identify marketplace opportunities that influence product strategy and decision‑making. Business Insights:
Own key business metrics, identify drivers of business performance, and translate analytical findings into actionable recommendations for leadership. Build scalable analytical frameworks and automation solutions that improve decision‑making across the advertising ecosystem. Predictive Modeling, Forecasting & Optimization:
Develop forecasting, machine learning, and optimization models that improve business performance and operational decision‑making. Design robust evaluation frameworks and translate model outputs into scalable business impact. Advertiser GTM Research – Quantitative Research & Econometrics:
Apply statistical, econometric, optimization, and causal inference techniques to better understand marketplace behavior, advertising effectiveness, and incrementality in support of strategic decision‑making.

• Analyze large‑scale datasets to identify opportunities, explain business outcomes, and influence decisions
• Design and evaluate experiments to understand the impact of products, features, and marketplace changes
• Develop statistical, machine learning, forecasting, optimization, or econometric models to solve business problems
• Define metrics and measurement frameworks that improve visibility into product and business performance
• Partner closely with Product, Engineering, Sales, Finance, Marketplace, and Leadership teams
• Communicate analytical findings and recommendations to both technical and non‑technical audiences
• Translate ambiguous business questions into structured analytical approaches
• Influence product, business, and strategic decisions through data‑driven insights and recommendations
• Contribute to a culture of analytical rigor, experimentation, and continuous learning

• Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience
• Experience in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or a related field
• Strong SQL skills and experience working with large‑scale, complex datasets
• Strong Python programming skills and experience with common analytical libraries, including an understanding of code structure, testing, reproducibility, and scalable analytical workflows
• Strong foundation in statistics, experimentation, causal inference, and analytical problem solving
• Experience developing statistical, machine learning, econometric, forecasting, or optimization models to solve business problems
• Experience translating analytical findings into business recommendations
• Ability to communicate effectively with technical and non‑technical stakeholders
• Experience operating in ambiguous, fast‑moving environments

• Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more…