KoBold Metals · 11 hours ago
Data Scientist - Staff or Senior (Global)
United States
Full-time
Remote
Senior Level, Lead/Staff
$190K/yr - $235K/yr
4+ years expKoBold Metals is a mineral exploration company leveraging AI to find critical metals for a low-carbon economy. They are seeking a Staff Data Scientist to build predictive models, develop software, and collaborate with geoscientists to enhance exploration efforts.
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
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
An advanced degree in the physical sciences, engineering, computer science, or mathematics
A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer
Experience leading technical teams to apply novel scientific approaches to core business problems
Ability to design, scope and implement technical solutions to novel exploration problems
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
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
Preferred
Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
Company
KoBold Metals
KoBold Metals is an AI-powered critical mineral startup that discovers essential materials for electric vehicles and renewable energy.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$1.22BKey Investors
T. Rowe PriceAndreessen Horowitz
2025-11-14Series C· $280M
2024-10-04Series C· $537M
2023-06-20Series B· $195M
Leadership Team
Josh Goldman
Co-Founder & President
Kurt Zenz House
Chief Executive & Co-Founder
Recent News
2026-01-19
Indian Express
2026-01-16
Globe and Mail
2026-01-11
Company data provided by crunchbase