KoBold Metals Zambia - Data Scientist

• A great Data Scientist candidate will have: • 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. • Technical knowledge: • 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 • Experience leading technical teams to apply novel scientific approaches to core business problems • Work practices and motivation: • 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. • It is also helpful but not required to have experience with: • Creating machine learning models on geospatial data • Image processing or computer vision • Distributed computing applications for machine learning and other computations • KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.This position is Contract: Indefinite Location: Zambia (Lusaka or Chililabombwe)