Senior Decision Science Engineer (Remote)

KoBold Metals DRC; United States; Remote; USD 170,000 - 215,000; Full time

Job summary

KoBold Metals seeks a Senior Software Engineer in Decision Science to build scalable decision-making systems for mineral exploration. You will work with data scientists, geologists, and software engineers to turn research into production-ready pipelines and models, enabling fast, high-quality site decisions.

Ideal candidates have 5+ years in decision science with strong software focus, python expertise, and ML/MLops experience. Remote-friendly role with global travel as needed.

Qualifications

• At least 5 years of experience in decision science with strong software focus.
• Track record of production-quality data processing tooling delivering business value.
• Proficiency with ML concepts, including traditional and deep-learning approaches.
• Proficiency in Python, with array-based packages like xarray and numpy.
• Experience with measured scientific data and visualization for domain experts.
• Experience in MLops and robust ML systems; drive for faster experimentation.
• Ability to work with diverse data sources and explain solutions to non-technical stakeholders.

Responsibilities

• Architect, implement, and maintain decision science libraries for mineral exploration analyses.
• Build tooling to increase decision velocity: prototyping in Jupyter, frameworks, scalable pipelines.
• Turn R&D into robust, repeatable production workflows; organize ML outputs for discoverability.
• Apply and coach best practices: robust, testable, composable code.
• Collaborate with data scientists, geoscientists, and engineers to advance decision science tech.

Skills

Python

ML/MLops

Data visualization

Scientific data

Data processing

Collaboration

Tools

xarray

numpy

Jupyter notebooks

Job description

KoBold Metals seeks a Senior Software Engineer in Decision Science to build scalable decision-making systems for mineral exploration. You will work with data scientists, geologists, and software engineers to turn research into production-ready pipelines and models, enabling fast, high-quality site decisions.

Ideal candidates have 5+ years in decision science with strong software focus, python expertise, and ML/MLops experience. Remote-friendly role with global travel as needed.