Job Description
Role & Responsibilities Technical: Python fluency. Daily-driver level. pandas, numpy, scipy, matplotlib. Comfortable innotebooks and in modular code. Time series forecasting. Hands-on with at least: ETS / Holt-Winters, ARIMA, Croston (or similar intermittent-demand methods). You know what temporal cross-validation is and why standard k-fold breaks on time series. You can explain why MAPE breaks on zero-inflated data and what to use instead (WAPE, MASE). Statistical intuition. You know when to b…
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