Senior Data Scientist
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/14/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and deploy financial forecasting and product analysis models, investigate operational incidents, predict failures, analyze cloud infrastructure usage and performance, improve data quality, and help evolve scalable data infrastructure. You will use statistical methods, SQL, Python, and visualization tools to support strategic decisions.
Requirements
- Deep familiarity with Monte Carlo simulation, predictive analytics, and time series modeling
- Proficiency in SQL and Python for data analysis
- Strong understanding of current data infrastructure architectures
- Familiarity with Tableau, Power BI, or Looker
- A proven track record and passion for data quality
- Ability to work autonomously on analytics projects
- Experience building cloud infrastructure with AWS, GCP, or Azure is a bonus
Responsibilities
- Build and deploy financial forecasting and product analysis models
- Investigate operational incidents and predict failures
- Analyze cloud infrastructure product usage and performance
- Identify areas for product improvement and guide feature development
- Collaborate on data quality initiatives
- Contribute to scalable data infrastructure
Benefits
- Restricted Stock Units
- Paid time off
- Paid holidays
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance
- Short-term disability insurance
- Long-term disability insurance
- Professional development
- Tuition reimbursement
- Mental health support
- Wellness support
- Commuter benefits for parking and transit
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off