Data Scientist - Staff or Senior (Australia)

KoBold Metals; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

KoBold Metals is seeking senior staff to senior data scientist roles to build predictive models for ore-forming processes and to predict mineralization locations in 2D and 3D. You will help assemble a worldwide dataset supporting exploration and quantify uncertainty in data and predictions.

You will work with world-renowned geoscientists and other data scientists and engineers to create 2D/3D geologic predictions, design field programs, and reduce uncertainty guiding field work.

Qualifications

• Proficiency with Python data science libraries and software development practices.
• Experience collaborating on data-driven geoscience projects and handling large datasets.

Responsibilities

• Develop KoBold's proprietary exploration tools.
• Curate and integrate geophysical, geochemical, geologic, and geographic data.
• Build models to predict ore-forming anomalies and mineralization locations.
• Create visualizations to evaluate model performance and underlying data features.
• Apply data processing, statistical, and physics-based techniques to geoscientific data.
• Collaborate with external partners and stakeholders.

Skills

Python programming

Git version control

Unit testing

Tools

Python data science packages

Job description

Data Scientist (Senior Staff, Staff, & Senior roles available)

About The Company

In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.

KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs -by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.

Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.

KoBold runs exploration programs in eight countries, all with the potential for another discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.

We are hiring a 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

• 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