Geosciences Full Time Richmond, BC Hybrid $100,000
- $130,000 CAD per year Founded and based in Richmond, BC, Ideon Technologies uses the energy from supernova explosions in space to image deep beneath the Earth’s surface. The world pioneer in cosmic-ray muon tomography, Ideon has developed the REVEAL™ Subsurface Intelligence Platform™, comprising an advanced suite of proprietary data-generation hardware, software, AI-powered services, and multi-physics fusion that provide x-ray-like visibility deep underground and unlock the exponential power of integrated spatial data. By transforming muon data into reliable 3D density maps, Ideon helps geologists identify, map, characterize, and monitor mineral deposits with confidence. This reduces risk and cost of traditional methods, while saving time, optimizing return, and minimizing environmental impact across the mining value chain. In turn, this is helping accelerate the world’s transition to low-impact mining and transform how companies recover the critical minerals required to power the global shift to clean energy – improving peoples’ lives and enhancing economic prosperity. We are a dynamic tech scale-up of 70 employees (and growing). We are a team that is entrepreneurial by nature and focused on doing things right to deliver great customer outcomes. And we are committed to seeking out the best brains and the most exceptional humans, wherever they come from and however they happen to be packaged. The Role We are seeking a Geoscientific Analyst who combines geoscience expertise with advanced data science and Python development to scale and optimize Ideon’s geoscience data workflows. You’ll work at the intersection of geoscience, data engineering, and scientific computing, partnering with teams across geoscience, research and development,



and software working on muon tomography, inversion, and end-to-end workflows. You understand both geoscience and data science, write high-quality Python, and are comfortable working with complex geoscience models and data. You enjoy improving scientific workflows through automation, use AI tools and modern development approaches day to day, and collaborate effectively across science and software teams. Reporting to the Manager, Geosciences, you’ll collaborate with geoscientists, applied scientists, physicists, software developers, and data scientists to improve how geophysical and geological data are processed, managed, and analyzed across Ideon’s subsurface imaging workflows. You’ll optimize data processing pipelines, improve geoscience modeling notebooks, and integrate AI-assisted workflows into Ideon’s scientific processes. You’ll ensure geoscience data and inversion workflows are scalable, reproducible, efficient, and well-structured for both customer project delivery and internal research. You will drive Ideon’s objectives forward by focusing on the following activities: Data Science & Workflow Optimization
- Design and optimize Python-based data pipelines for geoscience and geophysical datasets
- Improve data management, organization, and reproducibility across geoscience workflows
- Develop and maintain scalable Jupyter notebook frameworks for processing and analysis
- Optimize inversion and forward modelling notebooks for performance,



reliability, and maintainability
- Refactor existing scientific code into modular, maintainable, and reusable components Geoscience Data Processing
- Work with large geoscience datasets including muon tomography, geophysical survey data, geological models, and time-series datasets
- Support the geoscience team in automating data processing, model generation, and visualization workflows
- Improve computational efficiency of geoscience modelling workflows through parallelization, vectorization, and optimized algorithms
- Implement reproducible workflows for data QC, feature extraction, and model preparation AI & Advanced Analytics
- Integrate AI-assisted tools and machine learning techniques into geoscience data workflows
- Use up-to-date AI coding tools and automation methods to accelerate development of scientific workflows
- Explore opportunities for machine learning, statistical modelling, and pattern recognition in geoscience datasets
- Develop tools to support automated model diagnostics, anomaly detection, and uncertainty analysis
- Serve as a bridge between geoscience, R&D;, and software teams
- Translate scientific workflow requirements into efficient and scalable computational solutions
- Support integration of geoscience workflows into internal software platforms and applications
- Help establish best practices for scientific computing, version control, and reproducible research Priorities in the first few months will include: Month 1-2
- Develop a strong understanding of Ideon’s data architecture, geoscience workflows, and data inversion & AI
- Gain deep familiarity with geophysical and geological datasets used in modelling workflows
- Partner with existing team me

📌 Geoscience Data Scientist — Python (Richmond)
🏢 Collage
📍 Richmond