Data Scientist - Global Exploration
New
K
KoBold MetalsMineral Exploration
United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, BotswanaFull-TimeStaff
Salary140000 - 260000 USD per year
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Job Details
- Experience
- 4 years post PhD or 8 years post MS
- Required Skills
- PythonCloud ComputingGitMachine Learning
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 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.
- Ability to take ownership and responsibility of large projects.
- Ability to explain technical problems to and collaborate on solutions with domain experts.
- Communicates well on a collaborative, cross-functional team.
- Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
- Willingness to travel to observe work at Mingomba or an exploration site around the world.
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.
- Help KoBold make valuable discoveries by building data tools to solve scientific problems.
- Work closely with KoBold’s world-renowned geoscientists to incorporate best understanding of chemical and physical processes that create ore deposits.
- Create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty and guide the next phase of field work.
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