Lead the development and execution of strategic business plans by applying advanced economic theories and data science techniques.
Guide complex analyses, design experiments, and leverage econometric modeling to inform decision-making.
Communicate insights to stakeholders and collaborate across teams to drive business improvements.
Mentor associates and foster a high-performing environment.

Requirements

PhD in Economics, Statistics, or related quantitative field
5+ years of experience in applied economics with focus on labor markets or workforce analytics
Advanced proficiency in Python and SQL for large-scale workforce data analysis
Expertise in causal inference methods (e.g., difference-in-differences, synthetic control)
Strong understanding of machine learning algorithms
Knowledge of third-party labor market data vendors and workforce intelligence platforms
Familiarity with labor economics and workforce analytics methodologies.

Benefits

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonSQLcausal inference methodsdifference-in-differencessynthetic controlmachine learning algorithmsdata analysiseconometric modelingexperimental designworkforce analytics

Soft skills

communicationcollaborationmentoringleadershipstrategic planningproblem-solvinganalytical thinkingteamworkhigh-performance environmentstakeholder engagement

Certifications

PhD in EconomicsPhD in StatisticsPhD in related quantitative field