Data Scientist - Staff or Senior

New
K
KoBold MetalsMineral Exploration
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-TimeSenior
Salary$140k-$240k per year
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Job Details

Experience
A minimum work experience of 4 years post PhD or 8 years post MS
Required Skills
PythonCloud ComputingGitMachine LearningCI/CDComputer Vision

Requirements

  • Advanced degree in physical sciences, engineering, computer science, or mathematics.
  • Minimum 4 years of work experience post PhD or 8 years post MS.
  • Extensive experience with Python’s data science packages.
  • Proficiency in collaborative software development (git) and best practices (unit/integration testing, CI/CD pipelines).
  • Experience with cloud computing resources.
  • Demonstrated ability to build, evaluate, and interpret predictive models.
  • Broad skills in applied statistics and Bayesian inference.
  • Substantial understanding of machine learning algorithms.
  • Experience leading technical teams to apply novel scientific approaches to business problems.
  • Willingness to travel for field observations at project sites (minimum one week per year).
  • Ability to work cross-functionally and explain technical problems to domain experts.

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.
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$140k-$240k per year
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