Data Scientist / Statistician / Economist

Apple Economics logo

Apple
Santa Clara Valley - United States
S: Competitive

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, univariate and multiple time series analysis, dynamic linear modeling/bayesian forecasting, 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. Comfort with command line tools (less, awk, sed) and git would be useful but not required.
Either of the following are expected with R being preferred. Experience in both would be optimal. R: base R, tidyverse, Rmarkdown, data.table etc. OR Python: 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

Employer:

Apple

Location:

Santa Clara Valley, United States

Education:

Bachelor's Degree

Sector:

Economist

Salary:

Competitive

Job Type:

Permanent

Hours:

Full-Time

Posted:

2nd February 2018

Apply By:

26th February 2018

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