Demand Forecasting Statistical Modeling

Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back-office etc.).

Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models etc.).

Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies.

Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis.

Perform scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events.

Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc).

Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis.

Research, prototype, and implement new forecasting and optimization techniques as business needs evolve.

Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization.

Advanced Analytics

In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness.

Community Support Forecasting and Demand Planning Analyst

Responsibilities

Benefits

Company

Airbnb

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