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About AlphaHire Workforce Intelligence Lab (WIL) The AlphaHire Workforce Intelligence Lab (WIL) is an applied workforce research initiative focused on construction labor markets, workforce planning systems, compensation intelligence, labor scarcity analysis, and operational workforce visibility. WIL develops workforce intelligence frameworks and regional labor market analysis designed to support operational decision-making across the construction industry. The lab synthesizes publicly available labor data, compensation trends, contractor growth indicators, workforce demand signals, and construction activity into workforce intelligence systems for construction firms and industry operators. Learn more: AlphaHire Workforce Intelligence Lab (WIL) About the role We are seeking Predictive Analytics Fellows interested in workforce forecasting support systems, labor market analytics, operational workforce modeling, and workforce intelligence initiatives focused on the construction industry. This fellowship is designed for graduate students, PhD candidates, analysts, data scientists, operations researchers, and analytically oriented professionals interested in workforce systems, labor market visibility, workforce planning, compensation analysis, and operational forecasting support. Predictive Analytics Fellows will contribute to workforce intelligence initiatives focused on: workforce trend modeling labor market analytics compensation trend analysis workforce forecasting support labor scarcity indicators workforce intelligence methodologies operational workforce visibility workforce planning systems workforce signal interpretation dashboard validation regional workforce intelligence reporting This is a flexible, remote, project-based fellowship structured around approximately 3–5 hours per week. Requirements Support workforce intelligence and workforce forecasting initiatives Assist with workforce analytics and labor market trend analysis Contribute to workforce intelligence reports and publications Participate in workforce intelligence framework and forecasting support development Research publicly available labor market and workforce datasets Support operational workforce visibility and workforce planning initiatives Assist with dashboard validation and workforce signal analysis Contribute to workforce intelligence methodology documentation Support workforce forecasting support systems focused on operational construction decision-making Preferred backgrounds We are particularly interested in candidates with backgrounds in: predictive analytics workforce analytics operations research econometrics statistics industrial engineering labor economics forecasting systems data science business analytics operational analytics quantitative modeling applied economics mathematics data analytics Graduate students, PhD candidates, early-career researchers, analysts, and analytically oriented professionals are encouraged to apply. Benefits Fellowship structure Flexible remote participation Approximately 3–5 hours per week Project-based collaboration Ongoing contribution opportunities based on interest and availability Additional information This is an applied workforce analytics fellowship focused on operational workforce visibility and workforce planning support for the construction industry. The fellowship is intended for individuals interested in: workforce forecasting support systems workforce analytics labor market analysis operational workforce systems workforce intelligence methodologies compensation intelligence labor scarcity interpretation workforce planning frameworks construction workforce intelligence rather than speculative forecasting or purely theoretical modeling. The fellowship emphasizes: explainable methodologies operational usefulness workforce visibility practical workforce planning support labor market interpretation