VRIFY
Senior Geophysicist
Canada · Senior · Full-time
Sponsorship not specified$140k-$150kDetected 34 days ago
PythonData AnalysisGISCommunicationCritical ThinkingRemote Sensing
About the role
- At VRIFY, we are expanding the capabilities of our AI Team with the addition of a Senior Geophysicist.
- Your role will primarily focus on data compilation and interpretation, serving as a geophysical expert within a team that thrives on data-driven insights.
- As an integral member of our AI Team, you will be at the forefront of blending traditional exploration geophysics with modern data analytics.
Responsibilities
- Compile and synthesize geophysical data from various sources to support analysis and modeling efforts.
- You'll play a key role in synthesizing geophysical information to support our AI-driven targeting solutions, driving innovation in exploration strategies for our clients.
Requirements
- Geophysical Expertise: Demonstrated experience (8 years minimum) in geophysical data compilation, processing and interpretation for mineral exploration.
- Demonstrated experience (8 years minimum) in geophysical data compilation, processing and interpretation for mineral exploration.
- Professional references and completion of a background check will be required for this position.
- Education: Bachelor's or Master's degree (preferred) in Geophysics.
Nice to have
- Bachelor's or Master's degree (preferred) in Geophysics.
Skills
- Competence in geophysical software (Geoscience Analyst preferred), GIS, remote sensing tools, and familiarity with databases.
- Exposure to data analysis software (e.g., Python, R) is a plus.
- Collaborative/Communication
- Strong analytical and critical thinking skills, with a keen eye for detail and a systematic approach to problem-solving.
Compensation
- $140,000 to $150,000 CAD per year
- Professional references and completion of a background check will be required for this position.
- Must be legally entitled to work in Canada.
- T his 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.
- Compensation: $140,000 to $150,000 CAD per year
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.
- Wellness Programs: Fitness allowance, work from home allowance, mental health support.
- Retirement Plan (RRSP/DPSP)
- Work-Life Balance: Flexible work hours, remote work options plus option to use workspace in Downtown Vancouver (free snacks & gym).
Company info
- 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.
This listing is sourced directly from VRIFY's careers page and normalized into a canonical job model.