Staff Data Scientist

KoBold Metals
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Job Description

About the position

In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.

You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.


The Staff Data Scientist will:

  • 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.


A great Staff 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

Training and work experience:

  • An advanced degree in the physical sciences, engineering, computer science, or mathematics.
  • A minimum of 6 years post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Senior Data Scientist, Staff Data Scientist, and Principal Data Scientist with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.
  • Experience leading technical teams to apply novel scientific approaches to core business problems

Work practices and motivation:

  • 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.

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 opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

The US base salary range for this full-time exempt position is $175,000-$275,000.

Company Info.

KoBold Metals

KoBold Metals is pioneering Digital Exploration by applying statistical modeling, big data aggregation, and foundational ore-deposit science to materially improve the pace and efficacy of natural resources exploration. We are deploying our Machine Prospector tool to discover new ethical sources of Ni, Cu, Co, and Li critical for the electric vehicle revolution.

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KoBold Metals is currently hiring Staff Data Scientist Jobs in United States with average base salary of $175,000 - $275,000 / Year.

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