Staff Applied Scientist (Experimentation and Causal Inference)

Location: California, San Francisco, Seattle, or New York, US; the listing also states AU.

Salary: $193,800–$285,000 USD annual base salary.

Company

hirify.global operates a three-sided marketplace and develops analytical and experimentation systems that support decision-making across the business.

What you will do

• Set the scientific direction for the Curie experimentation analysis product and shape the Decision Systems roadmap with engineering and product partners.
• Own the statistical contract for experiment analysis, including metrics, populations, exposure windows, covariates, ratio metrics, and edge cases.
• Review analytical SQL, validate statistical parity, and ensure production systems correctly implement analytical contracts during engine migrations.
• Develop and productionize CUPED/CUPAC, ratio-metric and delta-method inference, sequential testing, heterogeneous treatment effects, switchback designs, and difference-in-differences.
• Build robust measurement approaches for high-scale, high-noise marketplace data, including power analysis, multiple-testing correction, winsorization, and quantile metrics.
• Advance AI-assisted experiment readouts, risk detection, and hypothesis generation, while advising and mentoring scientists, engineers, product teams, and operators.

Requirements

• 6+ years of industry experience or equivalent applied research experience developing statistical, causal inference, machine learning, or experimentation systems with measurable business impact.
• Deep expertise in experimentation and causal inference, with production experience in variance reduction, ratio metrics, sequential testing, heterogeneous treatment effects, marketplace interference, or quasi-experimental designs.
• Strong coding and data skills, including the ability to reason about production data pipelines and review complex analytical SQL for statistical correctness.
• Experience translating statistical or machine learning methods into reliable, scalable platform capabilities with engineering and product teams.
• A track record of setting technical direction, influencing cross-functional teams, and mentoring senior technical contributors without relying solely on formal authority.
• Ability to communicate complex technical concepts clearly to scientific, engineering, product, and executive audiences.
• Ability to balance methodological rigor, product velocity, engineering constraints, and customer needs.

Culture & Benefits

• Cross-functional collaboration with data scientists, engineers, product managers, and operators.
• Comprehensive benefits for regular employees, including 401(k) matching, medical, dental, vision, disability, and life insurance.
• 16 weeks of paid parental leave, paid time off, paid sick leave, 11 paid holidays, wellness benefits, commuter benefits matching, and mental health support.
• Family-forming assistance and equity grant opportunities.
• Flexible paid time off for salaried roles, plus 80 hours of paid sick time per year.