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KoBold Metals

AI-driven mineral exploration for critical metals

Associate Data Scientist

Data SciencePosted on Jun 27, 2024
Full-timeLusaka, ZambiaNo salary listed

About the Job

Requirements

  • At least 1 year of experience programming in Python
  • Experience working with geospatial datasets
  • Experience using Git and GitHub
  • Familiarity with SQL
  • Experience using geospatial visualization tools
  • Master’s degree or higher in geosciences, physical sciences, engineering, computer science, or mathematics

Responsibilities

  • Process and integrate data into well-structured, curated, proprietary databases using Python
  • Explore and assess the quality of geophysical, geochemical, geologic, and other geospatial data
  • Analyze data to identify potential errors and inconsistencies
  • Work on exploration projects to discover geospatial insights
  • Build predictive models for finding ore deposits
  • Improve data ingestion and engineering infrastructure
  • Support other Data Scientists and Exploration Geologists with geospatial analyses

About the Company

KoBold Metals

AI-driven mineral exploration for critical metals

KoBold Metals uses artificial intelligence to accelerate the discovery of lithium, cobalt, copper, and nickel deposits for clean energy. Its main product is an AI-driven mineral exploration program that combines a proprietary EOI tool with large-scale data about the Earth’s crust to decide which data to collect at each exploration step and reduce uncertainty. It stands out from traditional explorers through heavy data gathering, a multidisciplinary team, and a data-powered, repeatable scientific process. Its goal is to locate and sell mineral deposits to clean-energy companies, speeding the supply of critical minerals for batteries and renewable energy technologies.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Berkeley, CA
Founded
2018

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