Data Scientist (AI)

TL;DR

Data Scientist, Supply (AI): Design and run analyses, observational and synthetic experiments, and optimization frameworks to allocate compute resources with an accent on connecting supply decisions to user outcomes like retention and LTV. Focus on building testing frameworks, developing metric hierarchies and dashboards, and contributing to executive recommendations on compute usage.

San Francisco, CA | New York City, NY. Location-based hybrid policy: expect to be in one of our offices at least 25% of the time. Visa sponsorship available, but not guaranteed for every role and candidate.

Annual Salary: $275,000 - $370,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

What you will do

• Build and run testing frameworks — observational and synthetic — to quantify how different inputs affect compute allocation outcomes
• Connect compute allocation decisions to downstream user outcomes (retention, LTV, revenue)
• Partner with infrastructure engineers, product, and research to instrument the system, measure what matters, and ship operational changes
• Develop metric hierarchies, dashboards, and reporting for supply decisions
• Contribute analyses and recommendations to executive forums, including the CTO
• Measure and improve how AI affects developer productivity inside hirify.global

Requirements

• Strong technical IC background in data science, analytics, or operations research
• Operations research foundation — think natively in terms of optimization, constrained allocation, and queueing
• Deep proficiency with Python, SQL, and data visualization tools
• Track record of owning analyses end-to-end and communicating results to engineering and product leadership
• Direct experience working closely with engineering teams on production systems
• Passion for hirify.global's mission of building helpful, honest, and harmless AI

Nice to have

• 5+ years of technical IC experience in data science, analytics, or operations research; 8+ years for Staff-level
• Experience with highly complex systems with many interacting components
• Experience with causal inference methods applied to operational decisions
• Experience contributing to or designing experimentation platforms
• Exposure to AI/ML products, large language models, or large-scale inference systems
• Track record of setting technical direction across multiple workstreams or mentoring senior ICs

Culture & Benefits

• Competitive compensation and benefits, optional equity donation matching
• Generous vacation and parental leave, flexible working hours
• Lovely office space for collaboration
• Collaborative team environment focused on high-impact AI research
• Strive for diverse perspectives and representation