Apple Inc. is looking to enable rapid insights discovery for multiple business, cross-functional teams, and Senior Leadership Team (SLT) by applying best-in-class modeling and analytics techniques.
Requirements
- Deep understanding of sampling and hypothesis testing techniques such as stratified sampling, power analysis, Minimum Detectable Effects, Significance testing, T-tests, z-tests, Chi squared Tests
- SQL and PySpark for data manipulation
- High fluency with python libraries such as SciPy, StatsModels, Numpy, Pandas
- Use Statistical Data Analysis to select samples for A/B testing for experiment design, conduct power analysis for minimum detectable effects, measure test results significance testing during forward and holdback rollout periods
- Use Machine Learning Model development to create anomaly detection models for measuring volatility in business metrics
- Conduct ad-hoc analysis, root cause assessment and development of repeatable analysis with Python Programming
- Develop SQL Queries for data manipulation
Responsibilities
- Lead analysis of business metrics, their interactions, and framework design on deep dive investigations
- Monitor usage metrics, provide business-based explanations for large scale trends and patterns
- Lead creation of self-serve analytics tools and data products to enable insights discovery at lightning speed and scale
- Automate and scale existing analysis methods
- Develop and test machine learning models on small data size and then make them run at high speed on big data
- Institute new approaches on modeling and analysis frameworks
- Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer satisfaction
Other
- Bachelor’s degree or foreign equivalent in Applied Mathematics, Computer Science, Statistics, Econometrics, Operations Research, Computer Engineering or related field and 5 years of progressive, post baccalaureate experience in the job offered or related occupation
- Hire and develop leading talent with proven, relevant data science skills
- Motivate and ensure success for the team by defining roles and responsibilities that are clearly communicated, define and share a strategic vision for the function, established processes, and develop personal development plans
- Empower global business teams with insights to inform and fulfill strategic objectives and goals
- 40 hours/week
