Applied Statistician
virtual vocationsDenver (CO)
About the role
To support passport demand forecasting for the Department of State, the remote Applied Statistician will develop and refine statistical models, apply forecasting methods, and conduct simulations to analyze demand drivers and uncertainties.
Key responsibilities:
Develop and maintain statistical, econometric, and time series models to forecast passport demand
Apply various forecasting methods and conduct simulations to evaluate uncertainty and potential future outcomes
Analyze historical demand and other relevant data to improve model performance and accuracy
Required qualifications:
Bachelor's degree in Statistics, Econometrics, Economics, Applied Mathematics, Operations Research, or a related quantitative discipline
Experience in statistical analysis, forecasting, econometrics, or predictive modeling
Strong knowledge of regression, time series analysis, and model validation techniques
Proficiency with statistical tools such as Python, R, Stata, SAS, or MATLAB
Ability to independently structure and solve complex quantitative problems
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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