Apple-posted 4 months ago
Full-time
Cupertino, CA
5,001-10,000 employees

The Data Insights team within Apple Ads is seeking a bright and endlessly curious data expert to lead our Core Insights team that supports the organization. This individual will be responsible for leading a team that turns the huge amounts of data generated by user searches, app metadata, and App Store content into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers. We are seeking a self-motivated leader that can execute on near-term plans and contribute to defining a longer-term vision for our team and Apple Ads. This role involves working with internet-scale data across numerous product and customer touch points; undertaking in-depth, quantitative analysis on business performance; developing and running prediction and forecasting models; and building ML models including LLMs to drive core business decisions. The team’s culture is focused on rapid iteration with open feedback and debate along the way, plus strong collaboration with product, engineering, business, and marketing partners. You will have experience hiring and leading large-scale, sophisticated data science teams that deliver impactful insights via pattern mining, anomaly detection, modeling, classification, and creation of wide ranging analytical tooling. Successful candidates will take pride in implementing and sustaining end-to-end analytical solutions that have direct and measurable impact. The role requires both a broad knowledge of existing data mining algorithms and creativity to invent and customize when necessary.

  • Lead the Core Insights team to turn data into business insights.
  • Execute on near-term plans and contribute to defining a longer-term vision.
  • Work with internet-scale data across numerous product and customer touch points.
  • Undertake in-depth, quantitative analysis on business performance.
  • Develop and run prediction and forecasting models.
  • Build ML models including LLMs to drive core business decisions.
  • Collaborate with product, engineering, business, and marketing partners.
  • Hire and lead large-scale data science teams.
  • Deliver impactful insights via pattern mining, anomaly detection, modeling, and classification.
  • Implement and sustain end-to-end analytical solutions.
  • 10+ years of data science experience.
  • 3+ years of experience leading data science or machine learning teams.
  • 2+ years of experience in mobile advertising and performance-based advertising platforms.
  • Experience in statistical analysis, machine learning models, and advanced quantitative methods.
  • Strong focus in experiment design and causal inference.
  • Experience with regression, classification, clustering, time-series analysis, and LLMs.
  • Exceptional programming skills in Python and SQL.
  • Comfort with advanced analytics and data visualization tools and libraries such as Pandas, R, Spark, and Tableau.
  • Deep familiarity with commonly used Statistics and ML libraries such as ScikitLearn, SparkMLLib, SciPy, and/or StatsModels.
  • Familiarity with Causal Inference packages such as CausalImpact, DoubleML, DoWhy, and EconML.
  • Experience working with modern data engineering technologies and cloud-based data warehousing solutions.
  • Familiarity with database modeling and data warehousing principles.
  • Exceptional communication, collaboration, stakeholder management, and planning skills.
  • Bachelor's in a quantitative field or equivalent professional experience.
  • 15+ years of data science experience.
  • 5+ years of experience leading data science or machine learning teams.
  • 4+ years of experience in mobile advertising and performance-based advertising platforms.
  • Direct work experience in ad auctions, especially keyword matching, predictions, ranking, pricing, or relevance.
  • Ph.D. or Masters in a quantitative field.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service