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Jobs(31,365)/Data Scientist Role(298)/KoBold Metals (21) - Data Scientist - Staff or Senior (Australia)
KoBold Metals

KoBold Metals - Data Scientist - Staff or Senior (Australia)

Remote - EMEAUp to $240k+ Equity4mo ago
RemoteStaffEMEACloud ComputingArtificial IntelligenceData ScientistSenior Data ScientistPython

Requirements

• A great Data Scientist candidate will have: • 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. • Cloud computing resources. • Building predictive models, applying them to different problems, and evaluating and interpreting the results. • Data from a variety of physical systems. • Geospatial analyses and visualizations. • Technical knowledge: • Broad skills in and knowledge of applied statistics and Bayesian inference • Substantial understanding of machine learning algorithms • An advanced degree in the physical sciences, engineering, computer science, or mathematics. • A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. • Experience leading technical teams to apply novel scientific approaches to core business problems • Work practices and motivation: • Ability to take ownership and responsibility of large projects. • Ability to explain technical problems to and collaborate on solutions with domain experts. • Communicates well on a collaborative, cross-functional team. • 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. • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. • Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. • A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. • It is also helpful but not required to have experience with: • Creating machine learning models on geospatial data • Image processing or computer vision • Distributed computing applications for machine learning and other computations • 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, disability, or veteran status.This position is Full-time Exempt.The US base salary range for this full-time exempt position is $140,00 - $240,000 (USD) plus equity and benefits.Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.

Responsibilities

• The Data Scientist will: • Help develop KoBold’s proprietary software exploration tools. • Find and curate  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 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.

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