Principal Labor Market Data Scientist

Role Overview

The Principal Labor Market Data Scientist will lead hands-on research and analysis focused on labor and workforce insights. As a senior individual contributor, you will own work from defining the question and investigating the data through validating findings and explaining their significance to business leaders.

What You Will Do

Partner with labor economists and Communications to define research questions and produce validated analyses, charts, and supporting materials for executive briefings, customer discussions, and media preparation. Lead original research on hiring, separations, hours worked, wages, labor supply, and other workforce trends.

Why It Might Be a Fit

You will bring the technical depth to build the analysis and the judgment to determine what the evidence supports. Excellent written and verbal communication, with experience translating quantitative findings into concise, accurate materials for leaders, business audiences, or public use.

Requirements

• Bachelor’s degree or higher in statistics, data science, economics, computer science, mathematics, or a related quantitative field.
• 8+ years of relevant experience in data science, applied statistics, quantitative research, or a related field, with demonstrated ownership of complex analytical work and influence at a senior level.
• Substantial hands-on experience analyzing labor market or workforce data in recent professional roles, including producing research, indicators, or insights from employment, payroll, wage, hours, job posting, or worker-level datasets.
• Deep applied statistical expertise, including time-series analysis, sampling and weighting, hypothesis testing, and uncertainty estimation.
• Strong SQL and Python skills, including the ability to work independently with large, complex datasets and build maintainable, reproducible analytical workflows.
• Demonstrated ability to assess data quality and representativeness, reconcile inconsistent sources, and explain how methodological choices affect conclusions.
• Ability to explain analytical findings, methods, and limitations clearly to technical and nontechnical colleagues and collaborate on materials for business audiences.
• Ability to lead ambiguous research assignments independently, collaborate with economists and technical partners, and deliver sound analysis under time-sensitive conditions.

Benefits

• Performance-based bonus plan
• Restricted stock unit awards