Staff Applied Scientist
Core
Develop state-of-the-art instruments and data acquisition systems to collect geoscientific data, build predictive models for ore-grade mineralization, and guide exploration programs in the mining industry.
Role type
Staff Applied Scientist (Mineral Exploration & Sensor Systems)
Builds
Proprietary hardware sensors, data acquisition systems, and predictive models for critical battery metals discovery.
Domain
Mining / Mineral Exploration / Geophysics / Applied Physics
Deliverable
production ML models | product features | infrastructure
Required skills
Python data science packages, SQL, cloud computing, statistical and physics-based methods, computer vision, geophysical inversions, sensor deployment, systems integration, data curation, anomaly detection, spatially aware clustering
Preferred skills
Remote sensing, machine learning on geospatial data, image processing, project management
Technologies
Python, SQL, Git, CI/CD pipelines, cloud computing resources
Responsibilities
Design, develop, and deploy new mineral exploration data collection instruments and methods; Find and curate geospectral, geophysical, geochemical, geologic, and geographic data; Build models to predict locations of compositional anomalies within the Earth's crust; Create visualizations for evaluating model performance; Develop and apply data processing and physics-based techniques to guide targeting efforts; Collaborate with data scientists, geoscientists, and engineers to deploy algorithms for mineral exploration.
Seniority
Staff, hands-on IC with strategic impact