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Responsibilities:
- Develop and maintain statistical, econometric, and time series models to forecast passport demand.
- Apply forecasting methods such as regression, ARIMA, exponential smoothing, state space models, and Bayesian methods.
- Perform model validation, backtesting, sensitivity analysis, residual analysis, and forecast error evaluation.
Qualifications:
- Bachelor's degree in Statistics, Econometrics, Economics, or related quantitative field.
- Strong knowledge of regression, probability, time series analysis, and model validation.
- Proficiency with Python, R, Stata, SAS, MATLAB, or comparable tools.
Desired Qualifications:
- Master's or PhD in a quantitative discipline.
- Experience with Bayesian methods, Monte Carlo simulation, or multivariate time series.
- Experience supporting federal government customers.
Salary and Benefits:
- The salary range for this position is $90,000-$130,000.
- Equal Opportunity Employer with accommodations available.
LMI
LMI is a digital solutions provider that accelerates government impact with innovation and speed, bringing commercial-grade platforms and AI to federal agencies. Headquartered in Tysons, Virginia, LMI serves the defense, space, healthcare, and energy sectors, with a focus on agility and collaboration.