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KoBold Metals · 4 hours ago

Applied Scientist

United States

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $235K/yr

KoBold Metals is a leading independent mineral exploration company focused on innovative technology for ore discovery. The Applied Scientist will develop advanced instruments and models to support exploration programs, collaborating with geoscientists to enhance data-driven decision-making in mineral exploration.

Artificial Intelligence (AI)MineralMiningSoftware

No H1B

Responsibilities

Design, develop, and deploy new mineral exploration data collection instruments and methods

Help develop KoBold’s proprietary software exploration tools

Find and curate a wide variety of geospectral, 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 a range of 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

Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods

Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries

Qualification

Data analysisPythonSystems integrationPredictive modelingCloud computingSQLCollaborative software developmentRemote sensingImage processingProject management

Required

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

A successful track record of developing complex equipment with cross-disciplinary teams and vendors

Technical skills, including extensive experience with physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity

Applying scientific knowledge to identify and prototype emerging technologies

Systems integration and data acquisition

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

SQL, as well as familiarity with non-relational databases

Cloud computing resources

Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results

Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems

Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources

Experience deploying sensors in the field

Ability to take ownership and responsibility of large projects

Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations

Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company

Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities

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

Ability to independently prioritize multiple tasks effectively