Senior Geo Data Scientist

Job not on LinkedIn

🕒 March 20

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

VRIFY

WebsiteLinkedInAll Job Openings

51 - 200 employees

🥽 AR/VR

🤖 Artificial Intelligence

💰 Series A on 2023-05

AR/VR • Artificial Intelligence • Mining

VRIFY is a platform that revolutionizes communication within the mining industry through advanced AI technologies and interactive 3D visualizations. The company offers tools to enhance investor meetings, stakeholder communications, and press releases by transforming complex geological data into 3D presentations that are easy to understand. VRIFY's AI-powered system improves mineral exploration targeting and decision-making by generating precise 3D maps of the Earth's subsurface. The platform integrates various geological datasets to create robust, data-driven insights, enabling more effective communication and presentations. VRIFY aims to modernize and optimize the way mining companies communicate and present their projects to investors and stakeholders.

📋 Description

• Design and deploy machine learning models for geospatial applications, including deep learning architectures (e.g., Vision Transformers, GNNs) applied to high-dimensional raster and spatial datasets. • Develop scalable data pipelines for geospatial data, including preprocessing, feature engineering, sampling strategies, and spatial cross-validation. • Build and maintain end-to-end ML workflows, ensuring reproducibility, performance optimization, and reliable generation of actionable predictions. • Develop custom geospatial models that capture real-world spatial patterns to improve prediction accuracy and support decision-making. • Engineer geospatial features that reflect spatial relationships and domain-specific characteristics to enhance model performance. • Apply and advance model interpretability techniques to understand spatial patterns and quantify feature influence in complex ML models. • Use tools like Google Earth Engine and Hugging Face to process large-scale geospatial data and integrate modern AI models into production workflow

🎯 Requirements

• BSc, MSc, or PhD in Computer Science, Engineering, Geoscience, or a related field, or equivalent practical experience • 5+ years of experience in machine learning, data science, or software development, including production ML systems • Strong experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, scikit-learn) • Deep understanding of machine learning architectures (e.g., transformers, vision transformers) and approaches such as clustering and ensemble methods • Strong programming experience in at least one high-level language (e.g., Python) • Experience building and deploying machine learning models in production environments • Experience working with geospatial data (e.g., raster data, satellite imagery, spatial datasets)

🏖️ Benefits

• Health Benefits: Extensive coverage, medical, dental, and vision plans. • Paid Time Off (PTO): Including vacation days, sick days, personal days, public holidays plus extra time during holiday season. • Work-Life Balance: Flexible work hours, remote work options plus option to use work space in Downtown Vancouver (free snacks & gym). • Professional Development: Career growth program to help our team unlock their potential and advance their career. • Performance Bonuses • Wellness Programs: Fitness allowance, work from home allowance, mental health support. • Retirement Plan (RRSP/DPSP)