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

Skills

Key technologies and capabilities for this role

Data ScienceForecastingAnalysisModel DevelopmentRoot Cause AnalysisCloud InfrastructureProduct AnalyticsCapacity Planning

Questions & Answers

Common questions about this position

What benefits are offered for this Staff Data Scientist role?

The position offers industry competitive pay. Other benefits are not detailed in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills are required for the Staff Data Scientist position?

Required skills include deep familiarity with analytical methods like Monte Carlo simulation, predictive analytics, and time series modeling; proficiency in SQL and Python; data visualization tools such as Tableau, Power BI, or Looker; commitment to data quality; and ownership to drive projects autonomously.

What is the team structure like for this data science role?

This is an early and pivotal hire on the growing central Data Science and Engineering team.

What makes a strong candidate for this Staff Data Scientist role?

Strong candidates demonstrate analytical expertise, technical fluency in SQL and Python, data visualization proficiency, commitment to data quality, and ownership as an early hire driving projects autonomously. Bonus points for an advanced degree in a quantitative field, cloud infrastructure experience, or early-stage data team contributions.

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