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NEXTMOVEFDE careers · United States
Crusoe

Senior Data Scientist

AI summary of the role

Senior Data Scientist on the central Data Science and Engineering team at a vertically integrated AI infrastructure company.

What you’ll do

  • Build and deploy models for financial forecasting and product analysis to drive strategic decisions.
  • Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency.
  • Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development.
  • Collaborate with internal teams on initiatives to maintain high-quality data and contribute to the scalable evolution of modern data infrastructure.

What you’ll bring

  • Deep familiarity with Monte Carlo simulation, predictive analytics, and time series modeling.
  • Proficiency in SQL and Python for data analysis.
  • Strong understanding of current data infrastructure architectures.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).

Technologies

SQL · Python · Tableau · Power BI · Looker · Monte Carlo simulation · time series modeling · predictive analytics

About Crusoe

Vertically integrated AI infrastructure company that develops energy, builds AI data centers, and runs GPU cloud and managed inference services for model builders and enterprises.

Series E

Source and classification

Deployment team leadership · Evidence for this classification:

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. About This Role: Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You’ll Be Working On: Develop Forecasting & Analysis Models: Build and deploy models for financial forecasting and product analysis to drive strategic decisions.
More from the job description

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. About This Role: Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive signi [... source excerpt omitted ...] passion for data quality. Ownership: As an early hire on the data science team, you’ll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. Experience building cloud infrastructure (e.g., AWS, GCP, Azure). Experience on a growing or early-stage data team, contributing to foundational development. Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leav

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