Driving product impact via measurement and evaluation for Apple's products and services used by hundreds of millions of people globally
Requirements
- Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field
- Proficiency in data science, machine learning, and analytics, including statistical data analysis
- Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- Proven ability to collaborate effectively across functions and work well within a team
- Capable of driving projects of varying sizes and scopes
- Worked with methods that address accuracy and variability in human annotation data
- Ability to learn new technology and skills to accommodate changing working requirements
Responsibilities
- Research and develop evaluation methods to improve the quality of Apple user facing products
- Work with evaluation/experimentation engineering teams to translate methodological developments into technologies
- Work with large, complex data sets
- Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
- Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations
- Build and prototype analysis pipelines iteratively to provide insights at scale
Other
- 5 years of relevant work experience
- Strong communication skills and the ability to naturally explain difficult technical topics
- Ability to partner closely with product engineering teams
- Passionate about building outstanding products
- Relevant educational expenses reimbursement for certain educational expenses
