About The Position

The AIML Data Operations group engages with teams across Apple’s ecosystem with the goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. The Data Operations Planning and Analytics team provides leadership in forecasting, capacity planning and optimization, annual planning, data products, metrics reporting, and modeling & experimentation. The AIML Data Operations team is dedicated to technology, with a primary focus on enhancing the customer experience. The Director of Business and Capacity Planning and Data Analytics, is responsible for shaping the organization's business and capacity plans and seeing the organization more clearly through data. Working closely with executive leadership, cross functional EPM’s and Engineering DRI’s, and business leaders, this role builds a high-performance culture.

Requirements

  • Bachelors degree in Computer Science, Statistics, Mathematics, Economics or related field.
  • 15+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles.
  • Proficiency with using large scale data analytics in service of solving complex business problems.
  • Understanding of Python or R, SQL, tools such as scikit-learn, and forecasting libraries.
  • Extensive experience building production-ready models for forecasting applications.
  • Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Superb communication, story telling, and presentation skills with meticulous attention to detail.
  • Excellent in teamwork and relationship building.
  • Self-directed, intellectually curious, and proactive.
  • Thrive in an ambiguous and fast-paced environment.

Nice To Haves

  • Master's degree or relevant professional certifications in a related field.

Responsibilities

  • Shaping the organization's business and capacity plans.
  • Forecasting demand.
  • Developing capacity plans.
  • Developing resulting HC plans and annual plans.
  • Partnering in the execution of annotations projects that support teams across Apple’s ecosystem who are working on cutting-edge AI and machine learning technology.
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