Responsibilities
- Design and implement novel instruments and methodologies for gathering mineral exploration data.
- Contribute to the creation of proprietary software tools used in exploration workflows.
- Identify, collect, and manage diverse datasets including geospectral, geophysical, geochemical, geologic, and geographic information, integrating them into internal systems.
- Construct statistical models to predict subsurface compositional anomalies with high confidence.
- Develop clear visual representations to assess model outputs and interact efficiently with data features.
- Apply data processing, statistical analysis, and physics-based modeling techniques—from computer vision to geophysical inversion—to inform exploration strategies.
- Communicate findings and collaborate with external partners and stakeholders.
- Advance analytical capabilities by implementing robust spatial clustering and anomaly detection methods.
- Work across disciplines to create and deploy algorithms that synthesize complex datasets for mineral discovery.
Benefits
- Equity compensation included as part of total remuneration.
- Comprehensive medical, dental, and vision insurance coverage.
- 401k retirement savings plan with employer contributions.
- Short-term and long-term disability insurance along with life insurance.
- Paid time off for illness or medical needs.
- Parental leave policy supporting new parents.
Compensation
Equity compensation
Work Arrangement
10-20% travel required
Team
Collaborates with data scientists, geoscientists, and engineers
Responsibilities
- Design and implement novel instruments and methodologies for gathering mineral exploration data.
- Contribute to the creation of proprietary software tools used in exploration workflows.
- Identify, collect, and manage diverse datasets including geospectral, geophysical, geochemical, geologic, and geographic information, integrating them into internal systems.
- Construct statistical models to predict subsurface compositional anomalies with high confidence.
- Develop clear visual representations to assess model outputs and interact efficiently with data features.
- Apply data processing, statistical analysis, and physics-based modeling techniques—from computer vision to geophysical inversion—to inform exploration strategies.
- Communicate findings and collaborate with external partners and stakeholders.
- Advance analytical capabilities by implementing robust spatial clustering and anomaly detection methods.
- Work across disciplines to create and deploy algorithms that synthesize complex datasets for mineral discovery.
Benefits
- Equity compensation included as part of total remuneration.
- Comprehensive medical, dental, and vision insurance coverage.
- 401k retirement savings plan with employer contributions.
- Short-term and long-term disability insurance along with life insurance.
- Paid time off for illness or medical needs.
- Parental leave policy supporting new parents.
Other
- All staff must travel to field sites for at least one week annually.
- Roles involving fieldwork require substantially more on-site presence.
- Employees should expect 10-20% of their time to involve travel.
