Applied Scientist (Experimentation)

Location: SF Bay Area; on-site

Salary: $180K–$500K annually, plus equity

Company

hirify.global builds adaptive user and agent interfaces that continuously improve and personalize themselves.

What you will do

• Build experimentation frameworks and a unified optimization system across hirify.global product lines.
• Develop statistical models for incremental lift, confidence, long-term business impact, proxy metrics, and delayed rewards.
• Create decision engines that automatically start, stop, ramp, and optimize experiments while balancing exploration and exploitation.
• Build personalization, optimization, simulation, and evaluation systems to improve conversion, engagement, revenue, and other customer outcomes.
• Develop analytics pipelines and causal inference frameworks for large-scale, noisy, delayed, and incomplete behavioral data.
• Collaborate with engineering, product, and customer-facing teams to turn analysis into measurable product improvements.

Requirements

• Strong background in statistics, causal inference, machine learning, experimentation, or a related quantitative field.
• Experience designing or building large-scale online experimentation platforms.
• Deep knowledge of experimentation design, statistical methodology, and measurement pitfalls.
• Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, online decision systems, personalization, ranking, recommendation, optimization, or allocation systems.
• Strong software engineering fundamentals and experience building reliable production systems.
• Ability to translate product and business problems into rigorous statistical and machine learning approaches and communicate complex concepts clearly.

Culture & Benefits

• Primarily in-person work in San Francisco.
• Unlimited paid time off.
• Medical, dental, vision, life insurance, and disability benefits for employees and families.
• 401(k) plan with hirify.global match.
• Meals covered in the office and gym membership.
• Small, talent-dense team with AI researchers, former founders, and competitive programmers.