KoBold Metals
Senior Data Scientist
Job Summary
The role involves building and evaluating predictive models using Python and data from various physical systems, with a focus on geospatial analysis and visualization. Candidates should have strong technical skills in data science, software engineering practices, and knowledge of machine learning algorithms and statistics. The position requires quick learning, curiosity, and the ability to prioritize multiple tasks independently. It is a full-time, remote position within a fast-growing early-stage company, with an emphasis on collaborative development and technical excellence.
Required Skills
Benefits
Job Description
Senior Data Scientist
About the company:
The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.
A great Senior Data Scientist candidate will have:
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.
Technical knowledge:
- Broad skills in and knowledge of applied statistics and Bayesian inference
- Substantial understanding of machine learning algorithms
Work practices and motivation:
- 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.
It is also helpful but not required to have experience with:
- Creating machine learning models on geospatial data
- Geostatistics
- 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 opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.
This position is full-time, exempt.
Location: Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States or Canada.
The US base salary range for this full-time exempt position is $140,000-$220,000.
KoBold Metals
KoBold is building the world's largest collection of geoscience information. Using AI systems, KoBold interrogates that data to model the sub-surface in the most statistically valid manner ever
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