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Senior Data Scientist, Apple Ads

Apple· Data Insights (Apple Ads)
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Hybrid (New York City, Austin, Cupertino)$150.4k - $277.6kFull-timePosted 3d ago

About the role

Data Scientist within Apple Ads' Data Insights organization focusing on measurement, modeling, and optimization to influence product strategy, advertiser outcomes, and marketplace health across Apple Services. Collaborates with Product, Engineering, Finance, Sales, and Leadership to solve business 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
  • Analyze, design, and evaluate experimentation frameworks; build scalable analytical frameworks and automation solutions

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 with large-scale, complex datasets
  • Strong Python programming skills with common analytical libraries, including code structure, testing, reproducibility, and scalable 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:SQLPython

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement for career advancement (tuition)
  • Discretionary bonuses or commission payments and relocation eligibility
  • Apple shareholder opportunities through stock programs
Last updated Oct 23, 2026. Interested? Apply on the company site.

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