Data Scientist, Capacity Efficiency

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, set team goals, provide actionable insights and identify optimization opportunities.
• 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.
• Develop models to forecast future capacity needs based on business growth projections and product roadmaps.
• Identify and size opportunities to optimize infrastructure costs and performance, influencing the roadmap through your insights and recommendations.
• Build a data-driven culture within the infrastructure team by establishing foundational data best practices and making data more accessible.

• 6+ years of experience in data science roles, specializing in solving infrastructure problems, with a focus on capacity/compute.
• Knowledge of cloud based billing systems and efficiency optimization.
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in Python, SQL, and data visualization tools.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
• A deep curiosity and energy for pulling the thread on hard questions.
• Experience in turning open questions and data into concise and insightful analysis.
• Highly effective written communication and presentation skills.