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
Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field