Staff Data Scientist at Crusoe

San Francisco, California, United States

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$150,000 – $220,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial IntelligenceIndustries

Requirements

Candidates should possess deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. Proficiency in SQL and Python for data analysis is required, along with a strong understanding of current data infrastructure architectures and familiarity with data visualization tools like Tableau, Power BI, or Looker. A proven track record and passion for data quality, along with the ability to act autonomously to drive analytics projects, are essential.

Responsibilities

The Staff Data Scientist will develop and deploy models for capacity planning, financial forecasting, and product analysis. They will perform root cause analysis and prediction for operational incidents, analyze cloud infrastructure product usage and performance, and lead initiatives to maintain high-quality data and contribute to scalable data infrastructure evolution.

Skills

Data Science

Forecasting

Analysis

Model Development

Root Cause Analysis

Cloud Infrastructure

Product Analytics

Capacity Planning

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters

2018Year Founded

$1,082.2MTotal Funding

SERIES_DCompany Stage

Energy, AI & Machine LearningIndustries

201-500Employees