Remote Principal Data Scientist

Description:

• The Principal Data Scientist will build predictive models and apply scientific computing, statistical, and physics-based methods to identify evidence of ore-forming processes and predict locations of ore-grade mineralization in 2D and 3D.
• This role involves creating a worldwide dataset for the exploration program, focusing on identifying and quantifying uncertainty in data and predictions.
• The candidate will develop software to accelerate the discovery of critical battery metals and work closely with geoscientists to incorporate knowledge of chemical and physical processes that create ore deposits.
• Responsibilities include developing proprietary software exploration tools, curating various geospectral, geophysical, geochemical, geologic, and geographic data, and integrating it into KoBold’s data system.
• The Principal Data Scientist will build models for statistically valid predictions about compositional anomalies in the Earth’s crust and create visualizations for model performance evaluation.
• The role requires collaboration with external partners and stakeholders to present findings and insights.

Requirements:

• Candidates must have extensive experience with Python’s data science packages and general software engineering practices.
• Familiarity with collaborative software development (git) and software engineering best practices, including unit test/integration test suites and CICD pipelines, is required.
• Proficiency in SQL and familiarity with non-relational databases is necessary.
• Experience with cloud computing resources and building a variety of predictive models is essential.
• Candidates should have a broad range of data experience, including data from physical systems, and be skilled in geospatial analyses and visualizations.
• An advanced degree in physical sciences, engineering, computer science, or mathematics is required, along with 10 years of post-degree work experience as a data scientist or data engineer.
• Candidates should demonstrate ownership of large projects, the ability to synthesize complex information, and a proactive approach to learning new concepts and technologies.
• Experience with creating machine learning models on geospatial data, geostatistics, image processing, distributed computing applications, and containerization solutions is helpful but not required.

Benefits:

• This position offers a competitive salary range of $225,000 - $265,000 for full-time exempt employees.
• KoBold Metals is a remote-first workplace, allowing candidates to work from anywhere in the United States or Canada.
• The company is committed to equal employment opportunities and provides an affirmative action workplace for individuals of diverse backgrounds.