Summary

Description

Minimum Qualifications

• Bachelor's degree or foreign equivalent in Math, Economics, Finance, Statistics or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.
• 5 years of experience with each of the following skills is required:
• Performing statistical analysis using Python. Manipulating data with packages like Pandas, performing various statistical analyses such as descriptive and inferential analysis in order to learn about user behavior and its impact on the business.
• Querying and managing databases using SQL. Using SQL to access, explore, manipulate, and aggregate data.
• Distilling complex findings into digestible learnings for stakeholders.
• 3 years of experience with each of the following skills is required:
• Evaluating feature performance with A/B Testing or causal inference.
• Building models using Scikit-learn and other Machine Learning Packages like SciPy, Prophet, and stats models.
• Working with Engineering to define data collection design and requirements. Experience with data architecture and infrastructure, and defining requirements of how best to structure the data to be usable.
• 2 years of experience with each of the following skills is required:
• Managing pipelines for big data jobs and analysis using Spark and Hadoop. rRun on an automated basis, using Python, Spark, SQL, as well as internal orchestration platforms.
• 1.5 years of experience with each of the following skills is required:
• Creating clusters with Unsupervised Learning Techniques including K-Means, Phi and spectral clustering.

Preferred Qualifications

• N/A

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.