Principal Data Scientist
Confirmed live in the last 24 hours
KoBold Metals

51-200 employees

Utilizes big data and AI for efficient mineral exploration
Company Overview
KoBold Metals is transforming the mineral exploration industry by leveraging statistical modeling, big data, and foundational ore-deposit science to enhance the discovery of natural resources essential for electric vehicles. Their unique approach, termed the Epistemology of Exploration, focuses on quantifying and reducing uncertainty in data, making the exploration process more efficient and scientific. Additionally, they've developed TerraShed, a proprietary data system that organizes, standardizes, and quality tests diverse geophysical data, providing a robust information repository for their scientists to drive further discoveries.
AI & Machine Learning
Data & Analytics
Energy
B2B

Company Stage

Series B

Total Funding

$410.3M

Founded

2018

Headquarters

Berkeley, California

Growth & Insights
Headcount

6 month growth

27%

1 year growth

80%

2 year growth

214%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Computer Vision
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Broad skills in and knowledge of applied statistics
  • Substantial understanding of Machine Learning algorithms
  • An advanced degree in the physical sciences, engineering, computer science, or mathematics
  • 10 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor's/master's candidates are unlikely to be competitive
Responsibilities
  • Help develop KoBold's proprietary software exploration tools
  • Find and curate a wide variety of geospectral, 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 a range of 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
  • Ability to take ownership and responsibility of large projects
  • Enjoys constantly learning such that you are driving insights and innovations
  • Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers
  • 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