Senior Geodata Scientist

About us:

VRIFY is positioned at the forefront of the mining industry's transformation, leveraging cutting-edge AI to revolutionize mineral exploration. With a focus on AI drill targeting, VRIFY is expanding its capabilities by synthesizing vast amounts of geological information. This integration enhances the precision and efficiency of exploration strategies, offering our clients innovative solutions that depart from traditional methods.

Our mission extends beyond technological advancement. We are committed to transforming how mining companies engage with investors, aiming to foster a more transparent and accountable mining investment ecosystem. VRIFY's technology enables immersive 3D and 360 presentations that provide investors with a vivid and detailed visual context, making complex geological data accessible and engaging.

As we continue to refine our AI-driven solutions, VRIFY remains dedicated to driving innovation and excellence in the mining sector, ensuring our clients and investors are well-equipped to succeed in a rapidly evolving market.

VRIFY is seeking an exceptional Senior Geodata Scientist to work under our Lead Geodata Scientist while also serving as the product owner for our geoscientific workflows. This dual role combines deep geoscientific expertise with advanced data science capabilities and product ownership responsibilities. You will be instrumental in developing and implementing innovative approaches to analyze geological, geophysical, and geochemical data while driving the workflow development that makes these insights accessible and actionable for exploration teams.

As a Senior Geodata Scientist, you'll collaborate with multidisciplinary teams, including geologists, data engineers, and machine learning experts, to develop innovative solutions that unlock hidden potential in geological data. Your unique blend of geoscientific knowledge and data science expertise will be crucial in positioning VRIFY at the forefront of data-driven mineral exploration.

Key Responsibilities:

Data Science & AI Development:

• Implement and optimize machine learning solutions for complex geological problems including mineral exploration
• Design and maintain advanced analytics workflows for exploration data
• Develop effective feature engineering techniques for geological datasets
• Build and refine predictive models for mineral prospectivity mapping
• Contribute to innovative approaches for 3D geological modeling
• Execute integration strategies for multiple data types (geochemical, geophysical, structural)
• Ensure rigorous validation of geological interpretations and model outputs

Workflow Product Ownership:

• Create detailed user stories and technical requirements for workflow implementations
• Collaborate with engineering teams to ensure successful workflow deployment
• Establish metrics for measuring workflow effectiveness and adoption

Stakeholder Management:

• Serve as the bridge between technical teams and geological end-users
• Present workflow solutions and capabilities to internal teams and external clients
• Gather and synthesize user feedback to inform workflow improvements
• Train users on new workflow capabilities and best practices
• Support the Lead Geodata Scientist
• Document workflow processes and create user guides

Collaboration:

• Collaborate with cross-functional teams including ML engineers and data engineers
• Participate in industry events and knowledge sharing
• Mentor junior geodata scientists on workflow implementation

Qualifications

Experience:

• 7+ years of experience in geoscience with a strong focus on data analysis and modeling. 5+ years experience in data science and analytics applied to geoscience. Experience with product ownership.

Technical Expertise:

• Deep understanding of geological processes and mineral exploration techniques.
• Strong proficiency in Python for data analysis, machine learning, and geospatial modeling.
• Experience with GIS software (e.g., ArcGIS, QGIS) and spatial data analysis.
• Expertise in applying machine learning and statistical techniques to geoscientific data.
• Proficiency in 3D geological modeling software (e.g., Leapfrog, GOCAD).
• Familiarity with cloud computing platforms (i.e., AWS) and big data technologies for large-scale data processing.
• Experience with data visualization tools and techniques for complex geospatial data.
• Knowledge of remote sensing data analysis and interpretation.
• Experience with Agile methodologies and practices
• Additional qualifications in cloud computing, machine learning, or data engineering are highly valued.

Education:

• Master's or Ph.D. in Geoscience, Geostatistics, or related field, with a strong background in data science and analytics. Additional qualifications in data science or machine learning are highly valued.

Core Competencies:

• Exceptional problem-solving abilities, with a proven track record of innovative solutions in geodata science.
• Strong communication skills, capable of explaining complex geoscientific concepts to both technical and non-technical stakeholders.
• Leadership abilities, with experience guiding multidisciplinary teams on complex projects.
• Ability to bridge the gap between traditional geoscience and modern data science approaches.

What We Offer:

• Health Benefits: Extensive coverage, medical, dental, and vision plans.
• Paid Time Off (PTO): Including vacation days, sick/personal care 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
• Professional Development: Career growth program to help our team advance their career.
• Performance Bonuses
• Wellness Programs: Fitness allowance, work from home allowance, mental health support.
• Retirement Plan (RRSP/DPSP)

Terms of employment:

• Full-time, Permanent, Remote work in Canada.
• Completion of a background check will be required for this position.
• Must be legally entitled to work in Canada

This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.

We strive to create an environment where every employee feels valued, respected, and empowered regardless of their race, gender, age, religion, identity, or experience. We understand that unique perspectives and backgrounds bring invaluable insights and contribute to the richness of our culture and the effectiveness of our solutions.If you have a disability or any special needs that we might need to accommodate, please let us know.