KoBold Metals is hiring a
Staff Data Scientist

Summary

Join KoBold Metals, a mineral exploration company using AI to discover critical battery metals. As a Staff Data Scientist, you will build predictive models and help develop proprietary software tools to find ore-forming processes and predict locations of ore-grade mineralization. You will work closely with geoscientists and external partners, and enjoy a dynamic work environment.

Requirements

• Extensive experience with Python’s data science packages and general software engineering practices
• Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines
• Cloud computing resources
• Building predictive models, applying them to different problems, and evaluating and interpreting the results
• Data from a variety of physical systems
• Geospatial analyses and visualizations
• Broad skills in and knowledge of applied statistics and Bayesian inference
• Substantial understanding of machine learning algorithms
• An advanced degree in the physical sciences, engineering, computer science, or mathematics
• A minimum of 6 years post-degree work experience as a data scientist or data engineer
• Experience leading technical teams to apply novel scientific approaches to core business problems

Responsibilities

• Help develop KoBold’s proprietary software exploration tools
• Find and curate 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 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

Preferred Qualifications

• Creating machine learning models on geospatial data
• Geostatistics
• Image processing or computer vision
• Distributed computing applications for machine learning and other computations

Benefits

• US base salary range for this full-time exempt position is $190,000-$235,000
• KoBold Metals is a remote first workplace, open to candidates currently residing anywhere in the United States or Canada