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.

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.
An advanced degree in the physical sciences, engineering, computer science, or mathematics.
A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
Experience leading technical teams to apply novel scientific approaches to core business problems.

Data Scientist – Staff or Senior

Key skills