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Data Scientist - Staff or Senior
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KoBold Metals·UK·29 авг.

Data Scientist - Staff or Senior

от 20 000 $
на 377% выше медианы рынка
≈ от 1,7 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
Навык востребован (python).
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods 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 Scientists to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.

Чем предстоит заниматься

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

Наши требования

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
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
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
Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field

Технологии и навыки

python
machine learning
cloud
data science
computer science
K
KoBold Metals
UK

ГрейдSenior
ЗанятостьПолная занятость
РегионВеликобритания
ФорматУдалённо
ИсточникСкрыто
Опубликовано29 авг.

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