Remote Principal Data Scientist

Summary

Join KoBold, a leading mineral exploration company, as a Principal Data Scientist. You will build predictive models using scientific computing, statistical, and physics-based methods to locate ore deposits. This role involves developing a worldwide dataset, creating models to accelerate critical battery metal discovery, and collaborating with geoscientists. You will contribute to 2D and 3D geologic predictions, target identification, and field program design. As an early team member, you will build data tools from the ground up to solve scientific problems and help KoBold make valuable discoveries. The position requires extensive experience in data science, software engineering, and geospatial analysis, along with an advanced degree.

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
• SQL, as well as familiarity with non-relational databases
• Cloud computing resources
• Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results
• Working with a broad range of types of data including data from physical systems
• Geospatial analyses and visualizations
• Broad skills in and knowledge of applied statistics
• Substantial understanding of Machine Learning algorithms
• 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
• 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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• Remote work
• US base salary range for this full-time exempt position is $225,000 - $265,000