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ML Data Scientist - Research Analytics, Apple Ads

Apple

$181,100 - $272,100
Aug 25, 2025
Cupertino, CA, US
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At Apple, the business problem is to help people find exactly what they’re looking for and helping advertisers grow their businesses through Apple Ads, while respecting user privacy and delivering value for advertisers of all sizes.

Requirements

  • Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses
  • Ability to write code to query and transform both unstructured and structured data
  • Programming skills in Python and SQL
  • Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
  • Experience working with modern data technologies
  • Familiarity with database modeling and data warehousing principles
  • Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience

Responsibilities

  • Drive creation of analytics tools and data products to enable insights discovery at lightning speed and scale
  • Automate and scale existing analysis methods
  • Institute innovative approaches on modeling and analysis frameworks
  • Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer happiness
  • Understand advertiser engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
  • Guide and lead analysis and model development efforts across teams of data scientists
  • Translate insights into narratives that we codevelop with our stakeholders

Other

  • Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
  • Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
  • Ability to create order from complex, poorly-structured problems
  • Manage strategic relationships with our partners (e.g., App Store, future businesses)
  • Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups