Remote Senior Data Scientist

Summary

Join KoBold, a leading mineral exploration company, as a Senior Data Scientist. You will build predictive models using scientific computing, statistical, and physics-based methods to locate ore deposits. This role involves developing a worldwide dataset, creating 2D and 3D geologic predictions, and collaborating with geoscientists and external partners. You will contribute to KoBold's proprietary software exploration tools and help guide exploration decisions. As an early team member, you'll build these tools from the ground up, accelerating the discovery of critical battery metals. This is a full-time, remote-first position based in the US or Canada.

Requirements

• Have extensive experience with Python’s data science packages and general software engineering practices
• Be familiar with collaborative software development (git), and software engineering best practices like unit test / integration test suites, and CICD pipelines
• Have experience building, evaluating, and interpreting predictive models from data from a variety of physical systems
• Possess broad skills in and knowledge of applied statistics
• Have a substantial understanding of machine learning algorithms
• Have an advanced degree in the physical sciences, engineering, computer science, or mathematics
• Have 4 years of post-degree work experience as a data scientist or data engineer
• Demonstrate the ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting
• Show exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies
• Express excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities
• Be able to independently prioritize multiple tasks effectively

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

Preferred Qualifications

• Have experience creating machine learning models on geospatial data
• Have experience with geostatistics
• Have experience with image processing or computer vision
• Have experience with distributed computing applications for machine learning and other computations

Benefits

• Remote work
• US base salary range for this full-time exempt position is $140,000-$220,000