2+ years at the staff level as a data scientist with experience leading the development of data products and insights, as well as building machine learning modeling capabilities.
6+ years of overall industry experience in the areas of data science, statistics, and/or modeling to support user growth of subscription services, product, and feature development.
Practical experience and theoretical understanding of advanced quantitative methods, statistical & machine learning model development, including regression, classification, clustering, anomaly detection, time-series analysis, deep learning, etc.
Excellent presentation skills, distilling sophisticated analysis and concepts into concise business-focused takeaways.
Familiarity with data tools like Hadoop, Spark, Hive, etc.
Strong skills in managing priorities and collaborating with diverse groups of collaborators, including engineering, product, business, design, etc.
Ability to extract product insights from data and identify the stories behind the patterns.
Bachelor's degree in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas, or the equivalent industry experience in a related field.
M.Sc. or Ph.D. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas.
We prefer a strong product sense and a passion for user experience.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.