Senior Data Scientist (AI)

Location: Remote within the United States; occasional travel may be required for team offsites, client events, or company gatherings.

Salary: $190,000–$225,000 depending on geography and experience, plus equity and an annual bonus.

Company

hirify.global operates a value-based specialty-care marketplace connecting self-insured employers and plan sponsors with a vetted network of specialty-care providers through transparent pricing, technology, and care navigation.

What you will do

• Design, deploy, and scale product ML models for member identification, personalization, and provider search ranking.
• Frame ambiguous product problems, prototype solutions, write design documents, and hand models off to product and engineering.
• Design and analyze A/B/n, multivariate, and sequential experiments, applying causal inference when randomized testing is not feasible.
• Define North Star metrics and diagnostic dashboards covering activation, retention, and engagement across the member journey.
• Build model data foundations with Analytics Engineering and data engineering, including event logging, point-in-time-correct feature pipelines, feature stores, and automated experiment analysis.
• Apply AI to member and care-team tools while validating performance and impact.

Requirements

• Typically 5+ years of data science experience, including production models consumed by engineering through defined interfaces.
• Experience taking an ambiguous problem from decision framing through prototyping and clean handoff.
• Experience designing experiments and estimating causal effects from observational data, with an understanding of assumptions and their limitations.
• Experience defining product North Star metrics and building diagnostics with product managers.
• Experience partnering with engineering on feature pipelines and event logging; understanding of leakage, point-in-time correctness, and minimum-necessary access to sensitive data.
• Production-quality Python and SQL skills, including tested and maintainable code.
• Ability to distinguish correlation from causation, critically validate results, and evaluate AI-assisted work.
• Ability to translate business questions into formal problems and communicate results as clear recommendations.

Nice to have

• Clinical, clinical informatics, or oncology background.

Culture & Benefits

• Remote-first work within the United States with flexible working hours; Chicago and San Francisco offices are available as an option.
• Flexible PTO, 15+ paid holidays, Summer Fridays, and an annual December holiday shutdown.
• Paid parental leave, health, vision, and dental insurance, an Employee Assistance Program, and a 401(k) retirement plan.
• Stock option plan and performance bonus for eligible employees.
• Collaborative, autonomous environment with support, feedback, employee resource groups, and a DEIJ committee.
• Occasional in-person team, client, or company events may require travel.