Data Scientist - Computer Vision

September 12

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KoBold Metals

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KoBold Metals discovers the battery minerals containing Ni, Cu, Co, and Li critical for the electric vehicle revolution.

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Description

• Build predictive models and apply scientific computing methods to transform remote sensing data. • Develop in-house remote sensing instrumentation and modeling tools. • Create insights that accelerate discovery of critical battery metals. • Collaborate with geoscientists to identify new opportunities for data collection and exploration.

Requirements

• A successful track record of working with imaging instrumentation, especially scientific cameras and illumination systems as well as developing and deploying state-of-the-art spectral analysis techniques. Bonus for multispectral/hyperspectral imaging systems and reflectance and emissivity spectroscopy. • Technical skills, including extensive experience with: • Physical measurement and data analysis systems. • Applying scientific knowledge to identify and prototype emerging technologies • Systems integration and data acquisition. • Python’s data science packages and general software engineering practices. • Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. • Using cloud computing resources to perform scientific analysis at scale • Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. • Working with a broad range of types of data including data from physical systems. • Geospatial analyses and visualizations. • Technical knowledge: • Traditional image processing techniques such as edge detection, transforms, image stitching, etc… • Deep learning image processing techniques such as supervised and unsupervised classification. • Broad skills in and knowledge of data analysis, physics, and applied statistics. • Training and work experience: • An advanced degree in the physical sciences, engineering, computer science, or mathematics or equivalent industry experience. • Post-degree work experience as a scientist or engineer. • Work practices and motivation: • 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. • It is also helpful but not required to have experience with: • Geophysical data, instrumentation, and inverse problems • Project and team management