Principal Labor Market Data Scientist

Location: Remote in the United States

Salary: $150,500–$214,500 base pay, plus potential performance-based bonus and restricted stock unit awards.

Company

hirify.global provides a workforce operating platform for HR, payroll, and workforce management, using workforce intelligence and AI to support staffing, pay, compliance, and productivity decisions.

What you will do

• Lead original research on hiring, separations, hours worked, wages, labor supply, and other workforce trends across industries, geographies, and workforce segments.
• Partner with labor economists, Communications, Product, Engineering, data owners, Legal, and privacy teams to define research questions and improve workforce datasets.
• Combine large-scale hirify.global workforce data with public and commercial labor data, evaluating definitions, coverage, reporting lags, comparability, and data quality.
• Develop and validate statistical methods for workforce indicators, trends, and comparisons, addressing seasonality, changing populations, missing data, revisions, sampling bias, and causation.
• Produce executive briefings, charts, talking points, and supporting analyses for customer discussions, media engagements, press releases, and thought leadership.
• Build reproducible SQL and Python workflows with documented methods, versioned code, automated checks, privacy protections, and technical leadership for other data scientists.

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, including ownership of complex analytical work and senior-level influence.
• Recent substantial hands-on experience with labor market or workforce data, including employment, payroll, wage, hours, job posting, or worker-level datasets.
• Deep applied statistical expertise in time-series analysis, sampling and weighting, hypothesis testing, and uncertainty estimation.
• Strong SQL and Python skills, including independent work with large, complex datasets and maintainable, reproducible analytical workflows.
• Ability to assess data quality and representativeness, reconcile inconsistent sources, and explain how methodological choices affect conclusions.
• Ability to communicate findings, methods, and limitations clearly to technical and nontechnical audiences and collaborate with economists and technical partners.
• Ability to lead ambiguous research assignments independently and deliver sound analysis under time-sensitive conditions.

Nice to have

• Master’s or PhD in a relevant quantitative discipline.
• Recent experience developing labor market research, indicators, or data products at a statistical agency, payroll provider, workforce analytics organization, or comparable research institution.
• Experience supporting corporate communications, economic publications, executive briefings, or media preparation, including reviewing research for public release.
• Experience with econometrics, forecasting, or causal inference applied to labor and workforce questions.
• Experience with Google Cloud Platform, BigQuery, workforce management or human capital management data, and recurring labor market indicators or benchmark publications.

Culture & Benefits

• Remote work is available within the United States.
• Benefits and rewards are provided, with potential performance-based bonuses and restricted stock unit awards.
• Work involves collaboration across Data Science, Economics, Communications, Product, Engineering, Legal, and privacy teams.
• hirify.global is an equal opportunity employer and provides disability accommodations during the application and interview process.