Economist - Labor Pricing & Forecasting (Research)

AlphaX; United States; A distancia; USD 110.000 - 180.000; Jornada completa

Descripción de la vacante

AlphaGov in the United States is seeking a Research Economist to support research and consulting opportunities involving labor markets, wage forecasting, workforce availability, and project cost risk.

You will estimate how hiring costs shift across locations and time, assess the effects of competing labor demand, and translate findings into clear recommendations for executives, program leaders, and project teams. Experience with econometric models and proficiency with R or Python are preferred.

Formación

• PhD preferred in economics, applied economics, econometrics, or a related quantitative field.
• Experience in labor economics, wage analysis, price forecasting, or workforce modeling.
• Ability to develop and test econometric or statistical models.
• Experience with employment, compensation, industry, or regional economic datasets.
• Ability to translate research into recommendations.

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 staffing plans affect project costs.
• Contribute research methods and findings to proposals and client deliverables.

Conocimientos

Labor economics

Econometric analysis

Policy analysis

Educación

PhD in economics

Herramientas

R

Python

Stata

SAS

Descripción del empleo

AlphaGov in the United States is seeking a Research Economist to support research and consulting opportunities involving labor markets, wage forecasting, workforce availability, and project cost risk.

You will estimate how hiring costs shift across locations and time, assess the effects of competing labor demand, and translate findings into clear recommendations for executives, program leaders, and project teams. Experience with econometric models and proficiency with R or Python are preferred.