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Senior Data Scientist, Apple Ads

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Hybrid (Austin, Texas), Hybrid (Cupertino, California), Hybrid (New York City, New York)-full-timePosted 3d ago

About the role

Data Scientist role within Apple Ads Data Insights focused on measuring, forecasting, optimizing, and improving the advertising ecosystem across Apple Services. Multiple teams and focus areas; candidates may be considered for various opportunities depending on experience and interests.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:SQLPythonStatisticsExperimentationCommunicationProblem Solving
Last updated Oct 23, 2026. Interested? Apply on the company site.

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