Data Scientist

Data Scientist 

About the company

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.

KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.

Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods

KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.

We are hiring Data Scientists to help accelerate our mission.

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.

Responsibilities

The 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.

Qualifications

A great 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
• Experience leading technical teams to apply novel scientific approaches to core business problems 

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Ability to explain technical problems to and collaborate on solutions with domain experts.
• Communicates well on a collaborative, cross-functional team. 
• 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.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
• Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. 

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

What to Expect

Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.

 

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.

This position is Contract: Indefinite 

Location: Zambia (Lusaka or Chililabombwe)