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.
- 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.
What You'll Bring to the Team:- 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.
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 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
Compensation:Compensation will be paid in the range of $166,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
