
Data Scientist
About the company:
The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.
KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists.
KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.
We are hiring a Data Scientist to help accelerate our mission.
At this time, we are only accepting applications from Zambian nationals.
About the position
In this role, you will help develop software to accelerate discovery of battery metals by building a worldwide geospatial dataset that underlies our machine learning driven exploration program.
You will join an outstanding team of data scientists, geoscientists, and software engineers. You will be a core part of the exploration team, and your primary role will be to integrate data into TerraShed’s® databases using Python to perform QA/QC and exploratory data analysis. Further, you will add to KoBold’s codebase by contributing novel algorithms that accelerate the ingestion and transformation of myriad data sets. The datasets you curate will help other KoBold Data Scientists and Geologists leverage Machine Prospector® to solve challenging scientific problems, enabling the widespread adoption of electric vehicles.
Responsibilities
The Data Scientist will:
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Process and integrate data into well-structured, curated, proprietary databases (TerraShed®) using Python
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Explore and assess the quality of geophysical, geochemical, geologic, and other geospatial data from around the world
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Analyze data to identify potential measurement errors, missing data, inconsistencies with other datasets
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Work on an exploration project team and help Geologists discover pertinent geospatial insights from datasets
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Work with other Data Scientists to build predictive models for finding ore deposits
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Work with Software Engineers to improve data ingestion and data engineering infrastructure
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Support other Data Scientists and Exploration Geologists with ad hoc geospatial analyses
Qualifications
A great Data Scientist candidate will have:
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At least 1 year of experience programming in Python (or other scripting languages such as R or MATLAB), with an understanding of IDEs, data types, functions, classes, and libraries
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Experience working with geospatial datasets, with an understanding of coordinate systems and geospatial file types (vector, raster, delimited text, etc.)
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Experience using Git and GitHub to version control, contribute code, and collaborate with others on a remote repository
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Familiarity with SQL
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Experience using geospatial visualization tools (example: QGIS)
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A master’s degree or higher (or a bachelor’s degree with work experience) in the geosciences, physical sciences, engineering, computer science, or mathematics
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Drive to self-teach programming fundamentals and learn KoBold’s code repositories
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Interest in a career in Data Science, Software Engineering, or GIS
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Enjoyment in getting the details right
We are committed to equal employment opportunities for all people.
This position is a full-time contract role.
Location: Lusaka, Zambia.
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