Predictive Analytics Fellow, Workforce Intelligence

AlphaHire

6d • Remote

About The Position

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.

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, and regional workforce intelligence reporting. This is a flexible, remote, project-based fellowship structured around approximately 3–5 hours per week.

Requirements

• Graduate students, PhD candidates, early-career researchers, analysts, and analytically oriented professionals are encouraged to apply.
• 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.

Nice To Haves

• explainable methodologies
• operational usefulness
• workforce visibility
• practical workforce planning support
• labor market interpretation

Responsibilities

• 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

Benefits

• Opportunities to contribute to workforce intelligence reports and publications
• Participate in applied workforce analytics initiatives
• Gain exposure to workforce planning systems and labor market analysis
• Contribute to workforce intelligence methodologies and forecasting support systems
• Build portfolio-quality workforce intelligence and analytics projects
• Collaborate on workforce intelligence dashboards and workforce visibility systems
• Participate in workforce intelligence discussions with researchers, analysts, and industry operators
• As WIL expands, fellows may also have opportunities to participate in expanded research collaborations, advisory initiatives, future grant-supported projects, workforce intelligence publications and presentations, and workforce forecasting and workforce planning initiatives.

What This Job Offers

• Career Level: Entry Level