The Senior Data Scientist will work in the mining industry, which is facing challenges in finding new ore deposits and requires innovative exploration technology.
The candidate will have extensive experience with Python’s data science packages and general software engineering practices.
The role involves collaborative software development using git and familiarity with software engineering best practices such as unit test/integration test suites and CICD pipelines.
The candidate will utilize cloud computing resources and build predictive models, applying them to various problems while evaluating and interpreting the results.
The position requires working with data from a variety of physical systems and performing geospatial analyses and visualizations.
A broad skill set in applied statistics and Bayesian inference, along with a substantial understanding of machine learning algorithms, is essential.
The candidate should demonstrate the ability to quickly absorb and synthesize complex information, showcasing high intellectual rigor in a professional setting.
Exceptional curiosity and eagerness to learn are necessary, along with a proactive approach to exploring new concepts and technologies.
The candidate should be excited about joining a fast-growing early-stage company and comfortable in a dynamic work environment, with the ability to independently prioritize multiple tasks effectively.
Experience with creating machine learning models on geospatial data, geostatistics, image processing or computer vision, and distributed computing applications for machine learning is helpful but not required.
This position is full-time and exempt, with a remote-first workplace policy open to candidates residing anywhere in the United States or Canada.
Requirements:
Candidates must have extensive experience with Python’s data science packages and general software engineering practices.
Familiarity with collaborative software development using git and software engineering best practices, including unit test/integration test suites and CICD pipelines, is required.
Experience with cloud computing resources is necessary.
The candidate must be skilled in building predictive models and applying them to different problems, as well as evaluating and interpreting the results.
A broad knowledge of applied statistics and Bayesian inference is essential.
Substantial understanding of machine learning algorithms is required.
The candidate should demonstrate the ability to quickly absorb and synthesize complex information and show high intellectual rigor in a professional setting.
Exceptional curiosity and eagerness to learn, along with a proactive approach to exploring new concepts and technologies, are necessary traits.
The ability to independently prioritize multiple tasks effectively is required.
Candidates must be authorized to legally work in either the United States or Canada.
Benefits:
The US base salary range for this full-time exempt position is $140,000-$220,000.
KoBold Metals is committed to being an equal opportunity workplace and an affirmative action employer, ensuring equal employment opportunities for all individuals regardless of race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.
The position offers a remote-first work environment, allowing flexibility for candidates residing anywhere in the United States or Canada.
