Staff Applied Scientist - Metalab
New
K
KoBold MetalsMining exploration
Candidates can be located anywhere in the United States or Canada.Full-TimeStaff
SalaryThe US salary range for this role is between $125,000 and $235,000
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Job Details
- Required Skills
- PythonSQLCloud ComputingGitData scienceCI/CD
Requirements
- Demonstrated ability to synthesize complex information with intellectual rigor.
- Extensive experience with physical measurement and data analysis systems (optics, electromagnetism, radiation, gravity).
- Experience applying scientific knowledge to identify and prototype emerging technologies.
- Proficiency in systems integration and data acquisition.
- Extensive experience with Python data science packages and software engineering practices.
- Experience with collaborative software development (git) and best practices (CI/CD, unit testing).
- Proficiency in SQL and familiarity with non-relational databases.
- Experience with cloud computing resources.
- Experience building and interpreting a wide variety of predictive models.
- Experience performing data analysis, physics analysis, and applied statistics on physical system data.
- Experience deploying sensors in the field.
- Ability to independently prioritize multiple tasks and manage large projects.
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.
- Build models to make statistically valid predictions about the locations of compositional anomalies.
- Create effective visualizations for evaluating model performance.
- Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data.
- Present to and collaborate with external partners and stakeholders.
- Implement spatially aware clustering, anomaly detection, and other analysis methods.
- Collaborate with data scientists, geoscientists, and engineers to invent and deploy algorithms for mineral exploration.
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