Forecastingdraft — in review

Interview question

midlevel
10 minsuggested time
2Data scientist, ML engineer

You build one model to forecast daily passengers 1 to 14 days ahead. A teammate's feature set contains passengers_lag_7, passengers_lag_14, holiday_flag, competitor_fare_today and weather_actual. Backtests look excellent. Which features are unavailable at forecast time, and how would you fix the setup?

Tests: Feature availability at the forecast origin: minimum lag by horizon, known-future vs unknown-future covariates, and training-serving mismatch for forecasted inputs.

day 24 day 25 day 15