Data Scientist, Capacity Operations

As an early member of our Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by ensuring we strategically manage and scale our computing resources to meet research and product needs. In this unique company, technology, and moment in history, your work will be critical to ensuring our infrastructure is efficient, scalable, and ready to support the deployment of safe, frontier AI at scale to the world.

You will work closely with infrastructure engineers, product, and finance to understand current utilization patterns, identify optimization opportunities, and build models to forecast future capacity requirements. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.

Responsibilities:

• Analyze infrastructure and utilization data to define key metrics, understand trends, and identify and size opportunities to optimize costs and performance — influencing the roadmap through your insights and recommendations.

• Develop models to forecast future capacity needs based on business growth projections and product roadmaps.

• Partner with stakeholders across engineering, research, product, operations and finance to improve predictability of capacity utilization and optimize the allocation of capacity across different users and products.

• Build a data-driven culture within the compute team by establishing foundational data best practices and making data more accessible.

• 6+ years of experience in data science roles: defining meaningful metrics, building predictive models, developing simulations, and solving resource allocation problems

• Strong skills in Python, SQL, and data analysis tools, with experience working with large datasets and real-time streaming data

• A bias for action and urgency, not letting perfect be the enemy of the effective — including in ambiguous environments where you create clarity rather than wait for it.

• A deep curiosity and energy for pulling the thread on hard questions, turning open-ended inquiry into concise and insightful analysis.

• Proven ability to translate complex technical analyses into actionable recommendations for diverse audiences, in both written and presented formats.

• A passion for the company’s mission of building helpful, honest, and harmless AI

• Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

• Knowledge of cloud based billing systems

• Experience with AI/ML operations & platforms: understanding of API rate limiting, inference workload patterns, accelerator management

• Experience working closely with Finance teams and/or GTM teams