Economist — Labor Market Forecasting

AlphaGov; United States; Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

AlphaGov is seeking a Research Economist to support research and consulting on labor markets, wage forecasting, workforce availability, and project cost risk.

You will build forecasts of wages and labor costs, assess how hiring timing shifts demand across locations, and translate results into budgeting guidance for executives.

Requirements include a PhD in economics or related field, strong econometric/statistical skills, and proficiency in R, Python, Stata or SAS.

Formación

• PhD preferred in economics or related quantitative field
• Experience in labor economics, wage analysis, price forecasting, or workforce modeling
• Demonstrated ability to develop and test econometric models
• Proficiency in R, Python, Stata, SAS, or comparable tools
• Experience with employment, compensation, industry, or regional economic datasets
• Ability to translate research into clear recommendations for executives and teams

Responsabilidades

• Develop and validate forecasts of wages, labor costs, and workforce supply and demand
• Analyze how changes in project timing shift hiring needs into different market conditions
• Evaluate labor mobility, occupational shortages, hiring competition, overtime, and compensation pressure
• Build scenarios showing how alternative hiring dates and staffing plans affect project costs
• Combine public economic data with client staffing, payroll, and project records
• Establish forecast benchmarks, uncertainty ranges, and methods for testing accuracy
• Contribute research methods, narratives, and findings to proposals and client deliverables

Conocimientos

Econometrics

Data analysis

Python

R

Educación

PhD in Economics

Herramientas

R

Python

Stata

SAS

Descripción del empleo

AlphaGov is seeking a Research Economist to support research and consulting on labor markets, wage forecasting, workforce availability, and project cost risk.

You will build forecasts of wages and labor costs, assess how hiring timing shifts demand across locations, and translate results into budgeting guidance for executives.

Requirements include a PhD in economics or related field, strong econometric/statistical skills, and proficiency in R, Python, Stata or SAS.