Senior Data Scientist

KoBold Metals is seeking a Senior Data Scientist to join their team and help accelerate their mission of discovering, defining, expanding, and developing mineral resources using AI. The Senior Data Scientist will be responsible for building predictive models and applying a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. They will work closely with KoBold’s world-renowned geoscientists to incorporate their best understanding of the chemical and physical processes that create ore deposits. Ultimately, the Senior Data Scientist will help KoBold make valuable discoveries by building data tools to solve scientific problems.

• 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 ore-grade mineralization in 2D and 3D.
• Create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
• Build data tools to solve scientific problems and help KoBold make valuable discoveries.

• 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.
• Technical skills, including 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.