3D data processing, Dask - Python library, Data Engineering, Data science techniques, Design, Geospatial Statistical, Optimization, Pandas, Python Programming
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 a Data Engineer to help accelerate our mission.
About The Role:
One of KoBold’s core beliefs is that making mineral exploration data broadly accessible to humans and machines will enable systematic exploration and materially improved success rates. This role will help realize this vision by combining software, systems and data engineering to solve the scalability challenges associated with an ever increasing volume of heterogeneous mineral exploration data.
Responsibilities of this role include:
Qualifications
Our ideal candidate will have:
It is helpful but not required to have:
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, marital status, disability, or veteran status.
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.