The opportunity
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.
What you'll do
Develop Forecasting & Analysis Models: Build and deploy models for financial forecasting and product analysis to drive strategic decisions.
Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency.
Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development.
Champion Data Quality & Infrastructure: Collaborate with internal teams on initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure.
Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling.
Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures.
What they're looking for
- Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively.
- Commitment to Quality: Show a proven track record and 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.
- Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data: Science, Statistics, Computer Science) or equivalent experience.
