Data Scientist, Capacity Operations (AI)

TL;DR

Data Scientist, Capacity Operations (AI): Strategically managing and scaling computing resources to meet research and product needs, ensuring infrastructure is efficient, scalable, and ready to support the deployment of safe, frontier AI at scale. With an accent on understanding current utilization patterns, identifying optimization opportunities, and building models to forecast future capacity requirements. Focus on analyzing infrastructure and utilization data, developing predictive models, and optimizing capacity allocation across users and products.

Location: Hybrid role based in San Francisco, CA or New York City, NY, requiring office attendance at least 25% of the time. Visa sponsorship is available for candidates eligible to work in the US.

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

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society.

What you will do

• Analyze infrastructure and utilization data to define metrics, understand trends, and identify optimization opportunities.
• Develop models to forecast future capacity needs based on business growth and product roadmaps.
• Partner with stakeholders (engineering, research, product, operations, finance) to improve predictability and optimize capacity allocation.
• Build a data-driven culture within the compute team by establishing best practices and making data accessible.

Requirements

• 6+ years of experience in data science roles, including defining metrics, building predictive models, developing simulations, and solving resource allocation problems.
• Strong skills in Python, SQL, and data analysis tools, with experience with large and real-time streaming datasets.
• Ability to translate complex technical analyses into actionable recommendations for diverse audiences.
• Hybrid: Requires being in one of our San Francisco, CA or New York City, NY offices at least 25% of the time.
• Work authorization for the US is required (visa sponsorship available).

Nice to have

• Knowledge of cloud-based billing systems.
• Experience with AI/ML operations & platforms (API rate limiting, inference workload patterns, accelerator management).
• Experience working closely with Finance teams and/or GTM teams.

Culture & Benefits

• Work as a single cohesive team on large-scale research efforts with a focus on impact.
• Highly collaborative environment with frequent research discussions.
• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave.
• Flexible working hours and a lovely office space.