Senior Data Scientist (Research Engineer)

• Join Crusoe Energy as a Staff 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
• Develop Forecasting & Analysis Models: Build and deploy models for capacity planning, 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: Lead initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges

• Ownership: As an early hire on the data science team, you’ll be expected to act autonomously to drive forward analytics projects
• Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures
• Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling
• Commitment to Quality: Show a proven track record and passion for data quality
• Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively
• Experience building cloud infrastructure (e.g., AWS, GCP, Azure)
• Experience on a growing or early-stage data team, contributing to foundational development
• Advanced degree (Master’s or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience