Description:

KoBold is seeking a Senior Data Scientist to accelerate its mission in mineral exploration using AI models and novel sensors.
The role involves building predictive models and applying scientific computing, statistical, and physics-based methods to identify ore-forming processes and predict ore-grade mineralization in 2D and 3D.
The Senior Data Scientist will contribute to creating a worldwide dataset for exploration, focusing on identifying and quantifying uncertainty in data and predictions.
Responsibilities include developing proprietary software exploration tools, curating and integrating geophysical, geochemical, geologic, and geographic data, and making statistically valid predictions about compositional anomalies in the Earth's crust.
The position requires creating visualizations for model performance evaluation, applying data processing techniques, and collaborating with external partners and stakeholders.

Requirements:

Candidates must have extensive experience with Python’s data science packages and general software engineering practices.
Familiarity with collaborative software development (git) and best practices like unit testing, integration testing, and CICD pipelines is required.
A strong background in building, evaluating, and interpreting predictive models is essential.
An advanced degree in physical sciences, engineering, computer science, or mathematics is required, along with 4 years of post-degree work experience as a data scientist or data engineer.
Candidates should demonstrate the ability to synthesize complex information and possess exceptional curiosity and eagerness to learn.
Experience with machine learning models on geospatial data, geostatistics, image processing, or distributed computing applications is helpful but not required.

This is a full-time, exempt position with a remote-first workplace policy, open to candidates residing anywhere in the United States or Canada.
The US base salary range for this position is $140,000-$220,000.
KoBold Metals is committed to equal employment opportunities and is an affirmative action employer, promoting a diverse and inclusive workplace.