-Proficient at coding in R a must, familiarity with EViews a plus
-Experience importing data from public APIs (for example, US Bureau of Labor Statistics API, US Census API) and/or FTP servers (for example, the US Census FTP server) a must
-Experience tidying data, especially aligning related data from multiple sources, a must
-Experience with time series data a must, familiarity with price data a plus
-Understanding data architectures and communicating results to internal clients a must
-Machine learning, deep learning, AI, and other complex applications are not necessary
This position will be a vital part of a small team that is re-building our price forecasting model for downstream price forecasts in an automated way to enable additional countries to be added in the future.
The primary responsibilities will be programming an entire data analysis in R, from data importing (largely via BLS and Census APIs), tidying the data from multiple sources to common mnemonics, building forecast models (a mixture of LS and ARIMA modeling), visualizing the results by graphs, and working to integrate the results into existing forecasting processes.
The project has been scoped out, so day one would be moving towards developing the architecture to complete the project.