Applied Statistician, Forecasting – Simulation

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and sustain statistical, econometric, and time series models to project passport demand.

• Utilize regression, ARIMA, exponential smoothing, state space, Bayesian, and various other forecasting techniques.

• Create simulations and scenario analyses to assess uncertainty and possible future outcomes.

• Conduct model validation, backtesting, sensitivity analysis, residual analysis, and evaluation of forecast errors.

• Examine historical demand, survey data, economic indicators, demographics, travel patterns, policy modifications, and other factors influencing demand.

• Assess model assumptions, data integrity, structural shifts, biases, and sources of uncertainty.

• Compare different modeling strategies and suggest methods based on precision, interpretability, and statistical integrity.

• Track actual demand against predictions and pinpoint opportunities for enhancing model efficacy.

• Articulate methodology, assumptions, uncertainties, and analytical insights to both technical and non-technical audiences.

• Ensure reproducible analytical workflows, model documentation, and technical artifacts are maintained.

⛳️ Requirements

• A Bachelor's degree in Statistics, Econometrics, Economics, Applied Mathematics, Operations Research, or another highly quantitative field.

• Capability to work efficiently with new and emerging quantitative analysis tools.

• Experience in statistical analysis, forecasting, econometrics, predictive modeling, or related quantitative analysis fields.

• Comprehensive knowledge of regression, probability, statistical inference, time series analysis, model validation, and uncertainty.

• Proven experience in developing and assessing forecasting models using ARIMA, regression-based forecasting, exponential smoothing, state space models, or similar methodologies.

• Familiarity with simulation, scenario analysis, or probabilistic modeling techniques.

• Experience in validating models via backtesting, sensitivity analysis, residual analysis, or out-of-sample testing.

• Proficient in Python, R, Stata, SAS, MATLAB, or other comparable statistical software.

• Excellent analytical, problem-solving, and communication abilities.

• Ability to independently organize and tackle complex quantitative challenges.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to support work-life balance.