Syndio

Total Rewards

• Own an area of Syndio's compensation content and product surface, such as job architecture, market data integration, pay range design, offer intelligence, or a related domain
• Guide the squad's roadmap and prioritize work on the Applied Expertise team
• Apply total rewards expertise to complex customer situations involving architecture redesigns, market data conflicts, range strategy, offer logic, and geographic differentials
• Create scalable customer briefings, design guides, model communication templates, and worked examples
• Partner with Product and AI teams to embed compensation practice into Decisions and Essentials
• Shape offer recommendation logic, range and structure inputs, and market data workflows
• Support customer QBRs, offer strategy conversations, and architecture reviews
• Surface customer patterns and design 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 advance total rewards customer outcomes

Senior Domain Expert, Total Rewards

Research Scientist

• Lead studies end to end: frame questions, design measurement, run analyses, and write findings
• Shape flagship research reports and partner studies
• Combine Syndio pay-decision data with external labor-market, survey, and benchmark data
• Build reusable research methods
• Build outcome and ROI models connecting pay governance to attrition, cost, risk, and performance
• Join executive conversations at strategic accounts and translate findings for CHROs and CFOs
• Bring customer questions back to shape future studies
• Partner with product and data science teams to incorporate research into features, benchmarks, and reporting
• Co-author reports, articles, and executive briefings with source-traceable external claims

Senior Research Scientist, Executive Engagement & Insights

General

• Own an area of Syndio's methodology and asset library, such as comparator group logic, regression modeling, or remediation methodology
• Lead a small squad as a senior individual contributor, guide its roadmap, prioritize work, and maintain the technical bar
• Apply statistical methods to complex customer situations, including unusual workforce structures, small-group modeling, contested comparator choices, and novel regulatory tests
• Build scalable customer briefings, methodology guides, model documentation, and worked examples
• Partner with Product and AI teams to embed methodology into Decisions and Essentials
• Translate custom analytics into product requirements and support product and development teams on design and implementation plans
• Review model outputs and identify edge cases
• Anchor customer QBRs, regulatory inflection points, and board-adjacent conversations
• Surface methodological gaps and customer patterns to Principal-level colleagues and Product
• Partner with data science and development teams to advance outcomes for total rewards customers

Senior Domain Expert, Labor Economist

• Own an area of Syndio's compensation content and product surface, such as job architecture, market data integration, pay range design, or offer intelligence
• Guide the squad roadmap and prioritize work on the Applied Expertise team
• Apply total rewards expertise to complex customer questions involving architecture redesigns, market data conflicts, range strategy, offer logic, and geographic differentials
• Create scalable customer briefings, design guides, model communication templates, and worked examples
• Partner with Product and AI teams to embed compensation practice into Decisions and Essentials
• Shape offer recommendation logic, range and structure inputs, and market data workflows
• Participate in customer QBRs, offer strategy conversations, and architecture reviews
• Surface customer patterns and design gaps to Principal-level colleagues and Product
• Translate custom analytics into product requirements
• Support product and development teams on design and implementation plans
• Partner with data science and development teams to advance total rewards customer outcomes

Data Scientist

• Own measurement strategies for Syndio's core user workflows, including offer endorsement, approval, and acceptance
• Partner with engineering to design and validate event instrumentation for new features
• Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns
• Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling
• Translate usage data into prioritized recommendations for technical, product, and executive audiences
• Define and lead analytical strategies for new compensation and workforce data products
• Combine aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources
• Develop diagnostics measuring compensation governance and execution health
• Lead initiatives from exploration and hypothesis formation through validation, productionization, commercialization, and launch
• Evaluate proposed data products for analytical defensibility, interpretability, commercial value, privacy preservation, and responsible use
• Contribute to Syndio's give-to-get data strategy
• Serve as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles
• Partner with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflows
• Work with Customer Success and Sales to connect product usage and data-product insights to customer value, health, and renewal risk
• Establish standards for event data, analytical quality, documentation, interpretability, privacy, and responsible data use
• Provide technical and analytical leadership to other practitioners, raise data literacy, and build self-serve capability

Senior Domain Expert, Total Rewards

Senior Research Scientist, Executive Engagement & Insights

Senior Domain Expert, Labor Economist

Senior Domain Expert, Total Rewards

Staff Data Scientist, Data Products