At Apple, the business problem is to deliver high-quality annotated data in support of unreleased products and ground breaking AI technology by solving complex business problems in a fast-paced environment
Requirements
- Proficiency with using large scale data analytics in service of solving complex business problems
- Proficiency with data science programming languages (e.g. Python)
- data visualization (e.g. Tableau)
- SQL
- Excel
- Advanced degree in economics, mathematics, engineering/computer science, or other relevant field that demonstrates quantitative skill
Responsibilities
- converting internal customer’s annotation / labeling needs into quantitative project requirements
- assembling and executing on the capacity planning necessary to deliver projects successfully
- forecast demand, develop capacity plans, and partner in the execution of annotations projects
- improve project execution automation, analytics, and reporting
- communicate performance trends to leaders on an ongoing basis, highlighting and spearheading opportunities to drive further efficiency
- partner with engineering teams to improve project execution automation, analytics, and reporting
- work with client engagement and business planning to gather data and prepare projects for execution
Other
- Advanced degree in economics, mathematics, engineering/computer science, or other relevant field that demonstrates quantitative skill
- 5+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles
- Superb communication and presentation skills with meticulous attention to detail
- Excellent in teamwork and relationship building
- Self-directed and proactive
