9 дней назад
Senior Research Scientist, Executive Engagement & Insights
164 000 - 184 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Research Scientist, Executive Engagement & Insights (Pay Analytics/People Analytics): Leading end-to-end studies that combine proprietary pay-decision data with labor-market, survey, and benchmark data, with an accent on causal analysis, ROI modeling, and executive communication. Focus on designing reusable research methods, quantifying the effects of pay governance, presenting evidence to CHROs and CFOs, and translating findings into product features and benchmarks.
Location: Remote home office in the United States
Salary: $164,000–$184,000 per year
Company
provides a pay governance and compensation intelligence platform that helps organizations make fair, compliant, and data-driven compensation decisions.
What you will do
- Lead applied research studies from question framing and measurement design through analysis and publication.
- Combine proprietary pay-decision data with labor-market, survey, benchmark, and workforce data.
- Build outcome and ROI models connecting pay governance with attrition, cost, risk, and performance.
- Present findings to CHROs, CFOs, and other senior customer stakeholders, translating evidence into actionable decisions.
- Partner with product and data science teams to turn research into features, benchmarks, and reporting.
- Co-author research reports, articles, and executive briefings with claims traceable to sources.
Requirements
- PhD or equivalent depth in industrial-organizational psychology, behavioral or decision science, labor economics, statistics, or a related field.
- Track record of applying research to products, decisions, or business outcomes.
- Hands-on experience with causal and quasi-experimental methods, psychometrics, and survey design.
- Working fluency in Python or R and SQL with large, messy, real-world datasets.
- Ability to present findings to senior customers and explain the limits of the evidence.
- Ability to work within strict data-use and privacy boundaries.
Nice to have
- Experience in compensation, total rewards, pay equity, or people analytics.
- Experience with labor-market or compensation benchmark data.
- Consulting or customer-facing analytics experience.
- Published thought leadership or a public research voice.
- Experience in a startup, applied research lab, or research-to-product environment.
Culture & Benefits
- Fully remote work model for employees based in the United States.
- Equity participation in .
- Flexible vacation policy, paid sick and safe time, compassion leave, and voting leave.
- Paid 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.
Hiring process
- 30-minute interview with a Talent Team member.
- 45-minute interview with the Hiring Manager, followed by three video interviews with team members.
- Final 30-minute interview with an executive.
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