Principal Data Scientist

5 days ago

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KoBold Metals

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔬 Science

⚡ Energy

Description

• Help develop KoBold’s proprietary software exploration tools. • Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. • Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. • Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. • Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. • Present to and collaborate with our external partners and stakeholders.

Requirements

• An advanced degree in the physical sciences, engineering, computer science, or mathematics. • 10 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive. • Ability to take ownership and responsibility of large projects. • Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. • Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. • Ability to independently prioritize multiple tasks effectively. • Creating machine learning models on geospatial data (helpful but not required). • Geostatistics (helpful but not required). • Image processing or computer vision (helpful but not required). • Distributed computing applications for machine learning and other computations (helpful but not required). • Containerization solutions (helpful but not required).