Data Scientist
2025-04-02T13:03:45+00:00
KoBold Metals Zambia Limited
https://www.greatzambiajobs.com/components/com_jsjobs/images/blank_logo.png
https://www.greatzambiajobs.com/jobs/
FULL_TIME
Lusaka
Lusaka
10101
Zambia
Construction
Management
2025-04-16T17:00:00+00:00
Zambia
8
About the Company:
KoBold Metals Zambia Limited is a leading Zambian-led mineral exploration company exploring the ore deposits that will become the next generation of new mines in Zambia. KoBold Metals Zambia is the Zambian affiliate of KoBold Metals, a global company that invents and applies artificial intelligence to find mineral deposits worldwide.
KoBold Metals Zambia is building a rapidly growing team of Zambian geologists, operators, and executives to find and develop exploration opportunities and mineral resources drawing upon KoBold’s technology and the expertise of colleagues worldwide. In the Copperbelt at Chililabombwe, KoBold Metals Zambia is developing the Mingomba deposit into a world-class mine.
We are hiring a Data Scientist to help accelerate our mission.
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:
- Process and integrate data into well-structured, curated, proprietary databases (TerraShed®) using Python
- Explore and assess the quality of geophysical, geochemical, geologic, and other geospatial data from around the world
- Analyze data to identify potential measurement errors, missing data, inconsistencies with other datasets
- Work on an exploration project team and help Geologists discover pertinent geospatial insights from datasets
- Work with other Data Scientists to build predictive models for finding ore deposits
- Work with Software Engineers to improve data ingestion and data engineering infrastructure
- Support other Data Scientists and Exploration Geologists with ad hoc geospatial analyses
Qualifications
A great Data Scientist candidate will have:
- 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
- Experience working with geospatial datasets, with an understanding of coordinate systems and geospatial file types (vector, raster, delimited text, etc.)
- Experience using Git and GitHub to version control, contribute code, and collaborate with others on a remote repository
- Familiarity with SQL
- Experience using geospatial visualization tools (example: QGIS)
- A master’s degree or higher (or a bachelor’s degree with work experience) in the geosciences, physical sciences, engineering, computer science, or mathematics
- Drive to self-teach programming fundamentals and learn KoBold’s code repositories
- Interest in a career in Data Science, Software Engineering, or GIS
Enjoyment in getting the details right
We are committed to equal employment opportunities for all people.
At this time, we are only accepting applications from Zambian nationals.
This position is a full-time contract role.
Location: Lusaka, Zambia.
Process and integrate data into well-structured, curated, proprietary databases (TerraShed®) using Python Explore and assess the quality of geophysical, geochemical, geologic, and other geospatial data from around the world Analyze data to identify potential measurement errors, missing data, inconsistencies with other datasets Work on an exploration project team and help Geologists discover pertinent geospatial insights from datasets Work with other Data Scientists to build predictive models for finding ore deposits Work with Software Engineers to improve data ingestion and data engineering infrastructure Support other Data Scientists and Exploration Geologists with ad hoc geospatial analyses
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 Experience working with geospatial datasets, with an understanding of coordinate systems and geospatial file types (vector, raster, delimited text, etc.) Experience using Git and GitHub to version control, contribute code, and collaborate with others on a remote repository Familiarity with SQL Experience using geospatial visualization tools (example: QGIS) A master’s degree or higher (or a bachelor’s degree with work experience) in the geosciences, physical sciences, engineering, computer science, or mathematics Drive to self-teach programming fundamentals and learn KoBold’s code repositories Interest in a career in Data Science, Software Engineering, or GIS Enjoyment in getting the details right
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 Experience working with geospatial datasets, with an understanding of coordinate systems and geospatial file types (vector, raster, delimited text, etc.) Experience using Git and GitHub to version control, contribute code, and collaborate with others on a remote repository Familiarity with SQL Experience using geospatial visualization tools (example: QGIS) A master’s degree or higher (or a bachelor’s degree with work experience) in the geosciences, physical sciences, engineering, computer science, or mathematics Drive to self-teach programming fundamentals and learn KoBold’s code repositories Interest in a career in Data Science, Software Engineering, or GIS Enjoyment in getting the details right
No Requirements
JOB-67ed35b1e6761
Vacancy title:
Data Scientist
[Type: FULL_TIME, Industry: Construction, Category: Management]
Jobs at:
KoBold Metals Zambia Limited
Deadline of this Job:
Wednesday, April 16 2025
Duty Station:
Lusaka | Lusaka | Zambia
Summary
Date Posted: Wednesday, April 2 2025, Base Salary: Not Disclosed
Similar Jobs in Zambia
Learn more about KoBold Metals Zambia Limited
KoBold Metals Zambia Limited jobs in Zambia
JOB DETAILS:
About the Company:
KoBold Metals Zambia Limited is a leading Zambian-led mineral exploration company exploring the ore deposits that will become the next generation of new mines in Zambia. KoBold Metals Zambia is the Zambian affiliate of KoBold Metals, a global company that invents and applies artificial intelligence to find mineral deposits worldwide.
KoBold Metals Zambia is building a rapidly growing team of Zambian geologists, operators, and executives to find and develop exploration opportunities and mineral resources drawing upon KoBold’s technology and the expertise of colleagues worldwide. In the Copperbelt at Chililabombwe, KoBold Metals Zambia is developing the Mingomba deposit into a world-class mine.
We are hiring a Data Scientist to help accelerate our mission.
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:
- Process and integrate data into well-structured, curated, proprietary databases (TerraShed®) using Python
- Explore and assess the quality of geophysical, geochemical, geologic, and other geospatial data from around the world
- Analyze data to identify potential measurement errors, missing data, inconsistencies with other datasets
- Work on an exploration project team and help Geologists discover pertinent geospatial insights from datasets
- Work with other Data Scientists to build predictive models for finding ore deposits
- Work with Software Engineers to improve data ingestion and data engineering infrastructure
- Support other Data Scientists and Exploration Geologists with ad hoc geospatial analyses
Qualifications
A great Data Scientist candidate will have:
- 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
- Experience working with geospatial datasets, with an understanding of coordinate systems and geospatial file types (vector, raster, delimited text, etc.)
- Experience using Git and GitHub to version control, contribute code, and collaborate with others on a remote repository
- Familiarity with SQL
- Experience using geospatial visualization tools (example: QGIS)
- A master’s degree or higher (or a bachelor’s degree with work experience) in the geosciences, physical sciences, engineering, computer science, or mathematics
- Drive to self-teach programming fundamentals and learn KoBold’s code repositories
- Interest in a career in Data Science, Software Engineering, or GIS
Enjoyment in getting the details right
We are committed to equal employment opportunities for all people.
At this time, we are only accepting applications from Zambian nationals.
This position is a full-time contract role.
Location: Lusaka, Zambia.
Work Hours: 8
Experience: No Requirements
Level of Education: bachelor degree
Job application procedure
To apply for this job please visit job-boards.greenhouse.io.
All Jobs | QUICK ALERT SUBSCRIPTION
