Applied Statistician, Forecasting – Simulation

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $90k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Develop and maintain statistical, econometric, and time series models to forecast passport demand • Apply regression, ARIMA, exponential smoothing, state space, Bayesian, and other forecasting methods • Develop simulations and scenario analyses to evaluate uncertainty and potential future outcomes • Perform model validation, backtesting, sensitivity analysis, residual analysis, and forecast error evaluation • Analyze historical demand, survey data, economic indicators, demographics, travel trends, policy changes, and other demand drivers • Evaluate model assumptions, data quality, structural changes, bias, and sources of uncertainty • Compare modeling approaches and recommend methods based on accuracy, interpretability, and statistical rigor • Monitor actual demand against forecasts and identify opportunities to improve model performance • Communicate methodology, assumptions, uncertainty, and analytical findings to technical and nontechnical stakeholders • Maintain reproducible analytical workflows, model documentation, and technical artifacts

🎯 Requirements

• Bachelor's degree in Statistics, Econometrics, Economics, Applied Mathematics, Operations Research, or another highly quantitative discipline • Ability to operate efficiently using new and emerging tools of quantitative analysis • Experience in statistical analysis, forecasting, econometrics, predictive modeling, or related quantitative analysis • Strong knowledge of regression, probability, statistical inference, time series analysis, model validation, and uncertainty • Experience developing and evaluating forecasting models using ARIMA, regression-based forecasting, exponential smoothing, state space models, or comparable methods • Experience with simulation, scenario analysis, or probabilistic modeling • Experience validating models through backtesting, sensitivity analysis, residual analysis, or out-of-sample testing • Proficiency with Python, R, Stata, SAS, MATLAB, or comparable statistical tools • Strong analytical, problem-solving, and communication skills • Ability to independently structure and solve complex quantitative problems