Senior Director, Analytics & Data Science

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

As Senior Director of Analytics & Data Science, you will play a key role in how Crusoe makes decisions. This is a new role leading a newly formed team of centralized analysts and data scientists who are embedded directly with the business units and domains they support. Your mandate spans cloud, customer experience, construction, power, manufacturing, and more. The analytics team owns the business logic, certified data models, and reporting that leadership relies on, and partners closely with our Data team, which owns and maintains the data platform and the ingestion of data from source systems.

We are seeking a hands-on leader who is energized by building something from the ground up. The ideal candidate is deeply technical, credible with executives and operators alike, and drawn to complex, cross-functional problems. Reporting into the CFO/COO organization, you will define the operating model, hire and develop the team, set the standards to maintain consistent metrics across the company, and be a key partner to leadership in making faster, better-informed decisions. In the near term, much of the work is foundational — building the data models and definitions that rigorous analysis depends on. As that foundation matures, the team will take on more forecasting, experimentation, and predictive work.

• Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience.

• Experience in capital-intensive or operationally complex industries: energy, construction, manufacturing, supply chain, or data center development.

• Familiarity with cloud or infrastructure business models, including ARR, utilization, and capacity planning economics.

• Hands-on use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot to accelerate analytical work.

• Experience applying forecasting or optimization to physical operations, e.g., capacity planning, supply chain, energy, or fleet management.

• Experience in a hypergrowth company where processes were still being built.

• Experience enabling LLM or MCP-based self-service analytics on top of governed data models.