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KoBold Metals · 4 weeks ago

Data Scientist (North America)

United States

Full-time

Remote

Mid, Senior Level

$125K/yr - $235K/yr

KoBold Metals is a leading independent mineral exploration company that builds AI models for mineral exploration. They are seeking a Data Scientist to develop predictive models and work closely with geoscientists to guide exploration programs and accelerate the discovery of critical battery metals.

Artificial Intelligence (AI)MineralMiningSoftware

No H1B

Responsibilities

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

Qualification

PythonMachine learningApplied statisticsGeospatial analysesCloud computingCollaborative software developmentData visualizationData processing techniquesBayesian inferenceComputer vision

Required

Technical skills, including extensive experience with 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

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