Sentiment Forecasting Engineer

When to Use

Build aggregate sentiment indices from high-volume text streams (social, news, reviews, surveys)
Design temporal rollups — hourly, daily, weekly aggregation with consistent weighting rules
Forecast opinion trajectories — point forecasts, prediction intervals, and scenario bands
Model leading/lagging relationships between sentiment and sales, traffic, volatility, or brand KPIs
Select and implement time-series and sequence models — ARIMA, Prophet, state-space, TFT, etc.
Run nowcasts and choose forecast horizons aligned to decision cadence
Engineer features from volume, velocity, topic mix, and engagement quality
Backtest with walk-forward validation and report calibration of uncertainty
Handle spikes, bot noise, sample bias, and regime shifts in language or product mix
Integrate outputs with BI dashboards, brand monitoring, or research workflows (methodology only)