12 дней назад
Senior Domain Expert (Labor Economics)
143 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Domain Expert (Labor Economics): Building and embedding defensible pay equity methodology, regression models, and compensation intelligence resources into enterprise products with an accent on labor economics, comparator methodology, and customer-facing quantitative analysis. Focus on leading a methodology squad, translating statistical rigor into product logic, and solving complex workforce modeling and regulatory questions.
Location: Fully remote from a home office in the United States
Salary: $143,000–$160,000 per year, with equity
Company
provides a compensation intelligence and pay governance platform that helps HR, compensation, and finance leaders make fair, compliant, and data-driven pay decisions.
What you will do
- Own a methodology and content area such as comparator group logic, regression modeling, or remediation methodology.
- Lead a small squad as a senior individual contributor, guiding the roadmap and maintaining the technical quality of shipped work.
- Apply statistical methodology to complex customer situations, including unusual workforce structures, small-group modeling, comparator decisions, and regulatory tests.
- Create scalable customer briefings, methodology guides, model documentation, and worked examples.
- Partner with Product, AI, data science, and development teams to embed methodology into Decisions and Essentials.
- Support customer QBRs, regulatory discussions, and executive-level conversations where quantitative reasoning is critical.
Requirements
- 5+ years of hands-on quantitative experience in labor economics, statistics, econometrics, industrial-organizational psychology, or a related field.
- Experience applying quantitative methods to compensation, workforce, or pay equity questions.
- Strong regression modeling and comparator methodology skills, including the ability to defend model choices to non-technical audiences.
- Ability to translate quantitative analysis into actionable language for CHROs, works councils, and customer-facing teams.
- Experience embedding methodology into a product, tool, or repeatable workflow.
- Experience creating documentation or enablement materials and understanding how quantitative expertise can support AI-enabled products.
Nice to have
- Experience in HR tech, compensation, people analytics, or a similarly data-intensive enterprise domain.
Culture & Benefits
- Fully remote work model.
- Equity participation and flexible vacation policy.
- Paid sick and safe time, compassion leave, voting leave, and parental leave.
- Medical, dental, and vision coverage, with paying 90% of employee premiums and 50% for dependents.
- Life insurance, disability coverage, and a 401(k) plan.
- Inclusive workplace focused on candor, curiosity, community, and collaboration.
Hiring process
- 30-minute interview with Talent.
- 45-minute interviews with the Hiring Manager and a Product partner, followed by a one-hour panel interview.
- Final 30-minute interview with an executive.
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