Data Scientist - Staff or Senior
New
All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.Full-TimeStaff
Salary140000 - 240000 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.
- Experience with collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
- Experience with cloud computing resources.
- Experience building predictive models, applying them to different problems, and evaluating and interpreting the results.
- Experience with data from a variety of physical systems.
- Experience with 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.
- A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.
Responsibilities
- Build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find evidence of ore-forming processes and predict locations of ore-grade mineralization in 2D and 3D.
- Help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions.
- Create models and develop software to accelerate discovery of critical battery metals.
- Work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the 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 the uncertainty in our predictions and guide the next phase of field work.
- 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.
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