Labor economics – particularly as it relates to effects of migration, upskilling, active labor market policies, as well as onset and adoption of new AI technology; experience with wage, skill, occupation or employment datasets in the U.S. or abroad such as O*NET, OES, CPS, NLSY, LEHD, or other public databases. Data visualization and interactive tools – experience developing interactive online dashboards and visualization tools (e.g., RShiny, Tableau, Power BI, Plotly, or Dash) to communicate research insights, enable policy simulation, and support stakeholder engagement with complex economic and labor market data.