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Syndio

Workplace equity analytics platform for compensation

Senior Domain Expert - Labor Economist

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of hands-on quantitative work in labor economics, statistics, econometrics, industrial-organizational psychology, or a directly related field, applied to compensation, workforce, or pay equity questions.
  • Proven experience presenting personal analysis directly to external clients or senior non-technical stakeholders and defending the methodology when challenged.
  • Deep facility with regression modeling and comparator methodology, including building defensible pay equity models, explaining their limitations, and defending methodological choices to non-technical audiences.
  • Ability to translate quantitative rigor into actionable language for CHROs, works councils, or customer success managers without losing substance.
  • Experience embedding methodology into a product, tool, or repeatable workflow executed by others, rather than only conducting analyses personally.
  • Strong judgment about what data supports versus what a customer wants it to say, and comfort holding that line.
  • Track record of building content, documentation, or enablement materials that reduce ongoing reliance on personal availability.
  • Comfort considering how quantitative expertise translates into AI-mediated product capability.

Responsibilities

  • Present and defend pay equity methodology directly to enterprise customers, including HR leaders, total rewards teams, legal counsel, and executives.
  • Own an area of the methodology and asset library, such as comparator group logic, regression modeling, or remediation methodology.
  • Lead a small squad as a senior individual contributor by guiding its roadmap, prioritizing work, and maintaining the technical bar for shipped work.
  • Address complex customer statistical questions involving unusual workforce structures, small-group modeling, contested comparator choices, and novel regulatory tests; explain and defend methodological tradeoffs.
  • Create durable customer resources, including briefings, methodology guides, model documentation, and worked examples.
  • Partner with Product and AI teams to embed methodology into Decisions and Essentials, translate quantitative rigor into product logic, review model outputs, and identify edge cases.
  • Participate in customer quarterly business reviews, regulatory inflection points, and board-adjacent conversations where methodological accuracy is important.
  • Surface customer patterns and methodological gaps to Principal-level colleagues and Product.
  • Translate custom analytics into product requirements and support product and development teams on design and implementation plans.
  • Partner with data science and development teams to ensure the product advances outcomes for total rewards customers.

Desired Qualifications

  • Experience in HR technology, compensation, people analytics, or a similarly data-intensive enterprise domain is a strong plus.

About the Company

Syndio

Workplace equity analytics platform for compensation

Syndio provides a Workplace Equity Analytics Platform for global enterprises to ensure fair pay and advancement opportunities. It uses PayEQ® to identify groups with statistically significant pay disparities, analyze root causes in pay policies, and guide corrective actions to prevent future disparities. Pay Finder™ offers real-time insights to set fair starting salaries and determine pay for promoted or transferred employees. The business model combines software sales with expert services to help configure data, analyze pay structures, train teams, and generate global pay reports. Unlike general HR tools, Syndio emphasizes measurable pay equity, representation, and promotion equity, aiming to help companies comply with pay equity regulations, build trust, and strengthen their employer brand by proving fair pay practices.

Company size
51-200
Company stage
Series C
Total funding
$133.5M
Headquarters
Seattle, WA
Founded
2016

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