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 targeting efforts and inform acquisition and exploration decisions.
Present to and collaborate with external partners and stakeholders.

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.
Technical skills, including extensive experience with Python’s data science packages and general software engineering practices.
Familiarity with collaborative software development (git) and best practices like unit test / integration test suites and CICD pipelines.
Proficiency with cloud computing resources.
Experience building predictive models and applying them to different problems, evaluating and interpreting the results.
Knowledge of data from a variety of physical systems.
Skills in geospatial analyses and visualizations.

Data Scientist – Staff or Senior

Key skills