Senior Geodata Scientist

March 26

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VRIFY

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.

Technology and Financial

51 - 200 employees

πŸ₯½ AR/VR

πŸ€– Artificial Intelligence

πŸ’° Series A on 2023-05

πŸ“‹ Description

β€’ Lead data science and machine learning solutions for geological problems. β€’ Develop analytics workflows and predictive models for mineral prospectivity. β€’ Create user stories and collaborate with engineering for workflow deployment. β€’ Gather user feedback for workflow improvements and train users on new capabilities. β€’ Collaborate with cross-functional teams and mentor junior geodata scientists.

🎯 Requirements

β€’ 7+ years of experience in geoscience with a strong focus on data analysis and modeling. β€’ 5+ years experience in data science and analytics applied to geoscience. β€’ Experience with product ownership. β€’ Deep understanding of geological processes and mineral exploration techniques. β€’ Strong proficiency in Python for data analysis, machine learning, and geospatial modeling. β€’ Experience with GIS software (e.g., ArcGIS, QGIS) and spatial data analysis. β€’ Expertise in applying machine learning and statistical techniques to geoscientific data. β€’ Proficiency in 3D geological modeling software (e.g., Leapfrog, GOCAD). β€’ Familiarity with cloud computing platforms (i.e., AWS) and big data technologies for large-scale data processing. β€’ Experience with data visualization tools and techniques for complex geospatial data. β€’ Knowledge of remote sensing data analysis and interpretation. β€’ Experience with Agile methodologies and practices. β€’ Additional qualifications in cloud computing, machine learning, or data engineering are highly valued.

πŸ–οΈ Benefits

β€’ Extensive coverage, medical, dental, and vision plans. β€’ Including vacation days, sick/personal care days, public holidays plus extra time during holiday season. β€’ Flexible work hours, remote work options plus option to use work space in Downtown Vancouver. β€’ Career growth program to help our team advance their career. β€’ Performance Bonuses. β€’ Fitness allowance, work from home allowance, mental health support. β€’ Retirement Plan (RRSP/DPSP).

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