TalentCloud members should be able to use mathematical and statistical models to analyze time series data and recommend useful solutions. This TalentCloud requires you to have extensive knowledge of time series models that are used for large-scale data sets. Experience with signal processing is desired.
Required Skills
- Proficient in R, Python, or Julia
- Proficient in SAS, Stata, or MATLAB/ Mathematica
- 8+ years of experience with time series analysis and forecasting
- Experience with vector autoregression and panel vector autoregression
- Experience with dynamic regression models
- Proficient in moving average, exponential smoothing, AR, MA, ARIMA, ARCH, GARCH, apARCH models
- Expert in the evaluation of time series models and back-testing
- Experience with time series packages in R such as zoo, forecast, tsibble, lubridate, xts, timeSeries, smooth, tseries, and rugarch
- Experience with Python packages such as scikit-learn, statsmodels, sktime, tslearn
- Extensive experience with applying statistical methods to solve complex real-world problems
- Excellent communication and storytelling skills
Preferred Skills
- Experience with signal processing
- Experience with Python
- 5+ years of experience as a statistician or mathematician
- Graduate degree in math, stats, or a related field
- Experience with large scale time series and forecasting models such Prophet
- Experience with using deep learning models for time series analysis and forecasting
- Experience with TensorFlow
