Senior Data Scientist

Location

San Francisco, CA - US

Employment Type

Full time

Department

Cloud Engineering

Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.

Be part of the AI revolution with sustainable technology at Crusoe. Here, you’ll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role :

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.

What You’ll Be Working On :

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.

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

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid Parental Leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $200 per month

Compensation :

Compensation will be paid in the range of $233,000 - $282,000. 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.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex / gender, sexual preference / orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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