Senior Data Scientist, Research Engineer
Senior
Analytics
Business Analytics
Business Intelligence
Cloud Infrastructure
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Analytics Tools
Data Platform
Data Science
Data Visualization
Database
Databases
Financial Forecasting
Power BI
Predictive Analytics
Reporting and Analytics
SQL
Time Series Modeling
Job Description
Crusoe is building its central Data Science and Engineering team and is hiring an early Senior Data Scientist, Research Engineer based in Sunnyvale, CA (onsite).
Responsibilities
- Build, validate, and deploy models for financial forecasting and product analysis to support strategic decisions
- Analyze operational incidents, model risk of future failures, and implement approaches to improve system reliability and efficiency
- Perform deep analysis of cloud infrastructure usage and performance to identify opportunities for improvement and guide feature development
- Partner with internal teams to maintain data quality and help advance a scalable, modern data infrastructure
Requirements
- Strong command of analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling
- Proficiency in SQL and Python for data analysis
- Solid understanding of modern data infrastructure architectures
- Familiarity with data visualization tools such as Tableau, Power BI, and Looker
- Demonstrated record of data quality ownership and improvement
- Experience operating autonomously as an early hire to drive analytics projects forward
Technologies
- SQL, Python
- Tableau, Power BI, Looker
- Monte Carlo simulation, time series modeling, predictive analytics
- AWS, GCP, Azure
Benefits
- Competitive compensation
- Restricted Stock Units
- Paid time off & paid holidays
- Comprehensive health, dental & vision insurance
- Employer contributions to an 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
Bonus Points
- Advanced degree (Master's or Ph.D.) in a quantitative field (Data Science, Statistics, Computer Science) or equivalent experience
- Experience building cloud infrastructure (AWS, GCP, Azure)
- Experience contributing to a growing or early-stage data team and helping with foundational development
Compensation
- Compensation range: $166,000 - $200,000 per year plus bonus
- Restricted Stock Units included in all offers
- Final compensation determined by education, experience, skills, and internal equity aligned with market data
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