Senior Data Scientist

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.

Responsibilities

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.

Requirements

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; 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.

Nice to have

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 leave; Paid life insurance, short-term and long-term disability; Professional development & tuition reimbursement; Mental health & wellness support; Commuter benefits (parking & transit); Cell phone stipend; 401(k) Retirement plan with company match up to 4% of salary; Volunteer time off