Director | Data Science
MachinifySalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Mining, Data & AnalyticsIndustries
Requirements
The ideal candidate should possess a Master's degree in Computer Science, Physics, or a related quantitative field, and have at least 10 years of experience in scientific computing, with a strong focus on machine learning and data analysis. Demonstrated expertise in leading and managing high-performing teams is essential, along with a deep understanding of distributed computing systems and cloud infrastructure.
Responsibilities
As Director of Scientific Computing, you will lead KoBold’s scientific computing team to develop and maintain foundational technology for our algorithms and machine learning models, supporting the exploration of critical battery metals. This includes serving models on continent-scale satellite data, developing automated algorithms for capital project design, creating geophysics emulators, and building globally available 3D scientific visualization tools. You will collaborate closely with data scientists, engineers, and geoscientists to integrate geological understanding and accelerate the discovery and development of mineral deposits, ultimately driving insights for responsible and economic extraction.
Skills
machine learning
algorithms
geophysics
scientific visualization
data science
engineering
KoBold Metals
AI-driven mineral exploration for clean energy
About KoBold Metals
KoBold Metals focuses on discovering new deposits of essential minerals like lithium, cobalt, copper, and nickel, which are crucial for clean energy technologies. The company employs artificial intelligence to enhance the mineral exploration process, making it more efficient and predictable. Their proprietary AI tool utilizes a concept known as Efficacy of Information (EOI) to guide data collection during exploration, helping to reduce uncertainty. KoBold invests over $60 million annually in more than 60 projects across three continents, leading extensive research and development efforts in the field. Unlike traditional exploration methods, KoBold aggregates comprehensive data about the Earth's crust's physics and chemistry, allowing for a more scientific approach to mineral discovery. The company's goal is to locate and sell mineral deposits to clean energy companies, providing them with the necessary resources while maintaining a competitive advantage in the market.
Berkeley, CaliforniaHeadquarters
2018Year Founded
$909MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Energy, AI & Machine LearningIndustries
201-500Employees