Principal Data Scientist, Workforce Solutions

What you'll do

• Own the end-to-end data science strategy to decompose growth drivers for payroll, time, and benefits.
• Drive attach, activation, and retention growth through deep analysis of customer behavior across the Workforce portfolio.
• Design and adjudicate high-stakes experiments using causal methods like synthetic control and difference-in-differences.
• Define and own the canonical metric system for attach, seat growth, engagement, and retention.
• Synthesize business performance narratives to articulate growth drivers, headwinds, and actionable strategic moves.
• Build and own the data architecture and instrumentation required to power clean views on Workforce performance.
• Mentor senior and staff data scientists to set technical standards and raise the craft of data science.

What we're looking for

• 10+ years in data science or analytics with a track record of setting strategy and driving outcomes at the business-unit level.
• Deep expertise in causal inference and experimentation, including experimental design, quasi-experimental methods, and observational causal methods.
• Proven ability to direct product and growth roadmaps and influence strategy with data-backed hypotheses.
• Exceptional tops-down executive communication skills to construct data narratives for Director, VP, and SVP-level leaders.
• Deep strategic and business management thinking with knowledge of subscription growth, unit economics, and product-led growth dynamics.
• Advanced SQL and Python skills, including hands-on instrumentation, pipeline/ETL construction, and experience with large enterprise data.
• Demonstrated ability to mentor senior data scientists and set technical standards for a team.
• BS or MS in a quantitative field or equivalent work experience; advanced degree preferred.
• Experience in payroll, HR technology, fintech, or compliance-heavy domains (preferred).
• Experience building and shipping AI agent systems (preferred).