Data Scientist / Statistician / Economist

Apple
Santa Clara Valley - United States
S: Commensurate with experience

Job Summary

The individual in this role will be responsible for interpreting quantitative data and developing statistical models to predict and monitor iCloud infrastructure demand.

Key Qualifications

Strong background in statistics or econometrics: regression analysis, causal inference, time series analysis, GLM, logistic regression, probability theory, regularization, interest in machine learning algorithms.
Programming skills: demonstrated proficiency in going from unclean data source to cleaning, munging, plotting and modeling with regression or other appropriate machine learning tools. Either of the following
R: familiarity with tidy-verse packages, RStudio, shiny apps
Python's quantitative packages: pandas, sklearn, matplotlib etc.
Communicating Results: Demonstrated ability to share your findings with non technical audience by use of plots and text.
Innate curiosity

Description

Work with various teams to understand resource requirements (servers, storage, CPU, bandwidth) and make predictive models to forecast demand several years out
Provide data and reporting requirements to engineering teams
Analyze demand impact for future software and hardware features
Present forecast, trending, and analytical findings to stakeholders

Education

Bachelor's degree in Statistics or Economics (with emphasis on econometrics)

Job summary