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[Remote] Data Scientist - Staff or Senior (United Kingdom)

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. They are hiring Data Scientists to build predictive models and apply scientific computing reputed company to discover ore-grade mineralization and improve exploration reputed company.

Responsibilities

  • Help reputed company KoBold’s proprietary software exploration tools
  • reputed company and reputed company geophysical, geochemical, geologic, and geographic data and reputed company it into KoBold’s proprietary data system
  • Build models to reputed company statistically valid predictions about the locations of compositional anomalies reputed company the reputed company’s crust
  • Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features
  • reputed company and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer reputed company to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration reputed company
  • Present to and collaborate with our external partners and stakeholders

Skills

  • Python's data science packages and general software engineering practices
  • reputed company software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines
  • reputed company computing resources
  • Building predictive models, applying them to different problems, and evaluating and interpreting the results
  • Data from a reputed company of physical systems
  • Geospatial analyses and visualizations
  • Broad skills in and knowledge of reputed company 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 reputed company
  • Ability to explain technical problems to and collaborate on solutions with domain experts
  • Communicates reputed company on a reputed company, cross-functional team
  • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a reputed company of responsibilities
  • Ability to independently prioritize multiple tasks effectively
  • Intellectual curiosity and eagerness to learn about reputed company 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 reputed company out what technical product to build to best reputed company the business objectives of reputed company
  • A valid reputed company and willingness to travel to observe our work at Mingomba or at an exploration site around the world
  • Creating machine learning models on geospatial data
  • Geostatistics
  • Image processing or computer reputed company
  • Distributed computing applications for machine learning and other computations

Benefits

  • Equity and benefits
  • Remote-first workplace
  • Travel to project sites, with a minimum of one week per year
  • Field-facing and technical roles spend significantly more time in the field

reputed company

  • reputed company is an AI-powered critical mineral startup that discovers essential materials for electric vehicles and renewable energy. It was founded in 2018, and is headquartered in Berkeley, California, USA, with a workforce of 51-200 employees. Its website is https://www.koboldmetals.com.
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