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
- 5+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles
Responsibilities
- Converting internal customer’s annotation / labeling needs into quantitative project requirements
- Assembling and executing on the capacity planning necessary to deliver projects successfully
- Forecasting demand, developing capacity plans, and partnering in the execution of annotations projects
- Partnering with engineering teams to improve project execution automation, analytics, and reporting
- Communicating performance trends to leaders on an ongoing basis, highlighting and spearheading opportunities to drive further efficiency
- Working with client engagement and business planning to gather data and prepare projects for execution
- Improving project execution automation, analytics, and reporting
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
