Data Scientist (Australia)

Extensive experience with Python’s data science packages and general software engineering practices. Experience with collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. Experience with cloud computing resources. Experience building predictive models, applying them to different problems, and evaluating and interpreting the results. Experience with data from a variety of physical systems. Experience with Geospatial analyses and visualizations. Broad skills in and knowledge of applied statistics and Bayesian inference. Substantial understanding of machine learning algorithms. Ability to design, scope and implement technical solutions to novel exploration problems. Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. 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.

Help 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.