Job Opportunities API

Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.   At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking Senior Data and Economics Lead/Senior Researcher to support anticipated programming with the Department of Labor (DOL).  This opportunity will support the Employment and Training Administration (ETA) in providing comprehensive operational, analytical, and program support services to develop and support the Artificial Intelligence Workforce Hub.   This position is contingent upon contract award.   Responsibilities Leads the Hub’s analytical work by  identifying  and prioritizing research directions, conducting applied economic and quantitative analysis, and translating findings into policy-relevant insights .   Evaluates the usefulness, quality, comparability, and methodological soundness of partner-contributed data and analyses to  determine  fitness for use in Hub outputs .     Integrates partner and federal data where  appropriate  and adapts analytic approaches based on evolving data availability and constraints .     Monitors and responds to changes in external research literature to inform ongoing analysis and research direction .     Develops end-to-end analytic pathways from question identification to empirical analysis, balancing research judgment, quantitative rigor, and execution speed .     Navigates partner data limitations and sensitivities by  identifying  pragmatic analytic alternatives (e.g., aggregation, privacy-preserving, or constrained-access approaches) and exercising judgment on usability thresholds .     Communicates clearly with Government staff, partners, and research stakeholders on findings, methodological limitations, analytic approaches, and  appropriate caveats  for constrained or sensitive data .     Applies  expertise  in labor market dynamics and applied economic analysis; experience assessing technology’s economic effects is preferred .   Qualifications  A minimum of eight (8) years of relevant professional experience conducting applied quantitative research, economics research, labor market analysis, policy analysis, or related work using administrative, survey, platform, or other complex datasets. D emonstrated  proficiency  in one or more statistical programming languages such as R, Python, Stata, or similar  tools;   demonstrated  experience designing and executing empirical analyses under time constraints .   D emonstrated experience assessing data quality, methodological limitations, and fitness for use across heterogeneous data sources .   D emonstrated ability to adapt research designs or analytic strategies in response to data constraints, sharing sensitivities, disclosure concerns, or operational limitations .   D emonstrated experience translating quantitative findings into clear written products for policymakers, researchers, or other decision-makers .   A nd a minimum of a master’s degree in economics, public policy, statistics, data science, social science, or  a related  field .   Familiarity with federal data sources such as BLS, BEA, Census Bureau, O*NET, or related sources is preferred .