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Senior Data Scientist

KoBold Metals

Full-time
USA, Canada
$140k-$220k per year
python
machine learning
cloud
data science
software engineering
Apply for this position

Senior Data Scientist

About the company: 

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

A great Senior Data Scientist candidate will have:

Technical skills, including extensive experience with:

  • 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

Work practices and motivation:

  • Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting.

  • Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.

  • 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:

  • Creating machine learning models on geospatial data

  • Geostatistics

  • 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 opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.

This position is full-time, exempt.

Location: Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States or Canada.

The US base salary range for this full-time exempt position is $140,000-$220,000.

 

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About the job

Full-time
USA, Canada
$140k-$220k per year
Posted 1 day ago
python
machine learning
cloud
data science
software engineering

Apply for this position

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Senior Data Scientist

KoBold Metals

Senior Data Scientist

About the company: 

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

A great Senior Data Scientist candidate will have:

Technical skills, including extensive experience with:

  • 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

Work practices and motivation:

  • Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting.

  • Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.

  • 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:

  • Creating machine learning models on geospatial data

  • Geostatistics

  • 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 opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.

This position is full-time, exempt.

Location: Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States or Canada.

The US base salary range for this full-time exempt position is $140,000-$220,000.

 

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