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Senior Data Scientist, Apple Ads

Apple· Data Insights / Apple Ads
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Cupertino, CA, Austin, TX, New York, NY$150.4k - $277.6kFull-timePosted 3d ago

About the role

Data Scientist within Apple Ads' Data Insights organization helping to understand, measure, forecast, optimize, and improve the advertising ecosystem across Apple Services. Work across multiple teams and domains to solve business and product challenges using data, experimentation, statistical modeling, and machine learning.

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 related quantitative discipline, or equivalent practical experience
  • Experience in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or related field
  • Strong SQL skills and experience working with large-scale, complex datasets
  • Strong Python programming skills and experience with common analytical libraries, including 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:SQLPythonStatistics & Causal InferenceModeling & ForecastingCommunicationAmbiguity Tolerance

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement including tuition
  • Discretionary bonuses or commission payments and relocation eligibility
Last updated Oct 23, 2026. Interested? Apply on the company site.

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