Data Scientist (All Levels)

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 - 260000 USD per year
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Job Details

Experience
A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
Required Skills
PythonCloud ComputingGitMachine LearningComputer Vision

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.
  • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
  • Ability to independently prioritize multiple tasks effectively.
  • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
  • Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
  • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
  • A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.

Responsibilities

  • 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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140000 - 260000 USD per year
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