Geodata Scientist at ALS analyzing geoscience data and applying machine learning for mineral exploration. Collaborating with multidisciplinary teams on predictive modelling and consulting projects.
Responsibilities
Deliver consulting projects focused on prospectivity analysis, geoscience data integration, and predictive modelling
Collaborate with clients and internal teams to produce actionable exploration insights
Process, analyze, and interpret geophysical, geological, geochemical, remote sensing, and drilling datasets
Prepare high quality technical reports, presentations, maps, and client deliverables
Support project proposal development, project planning, and technical scoping activities
Ensure completion of timelogs/timesheets and business development activities
Requirements
M.Sc. or Ph.D. in Geophysics, Geology, Geological Engineering, Mineral Engineering, Data Science, Computer Science, or a related discipline
Professional registration in relevant jurisdiction (P.Geo, P.Eng) or the ability to obtain such designation
Familiarity with geological sciences, mineral deposits, and mining/exploration
Experience applying machine learning to mineral exploration, geological modelling, mineral prospectivity mapping, or related geoscience applications
Strong understanding of machine learning and statistical modelling techniques
Proficiency in Python and common scientific computing libraries
Experience presenting technical results to clients, industry groups, or scientific audiences
Strong organizational skills and attention to detail as it relates to creating and following templates, version control, documentation, and established procedures
Excellent verbal and written communication skills (English required; English-French preferred)
Benefits
Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs)
Additional vacation days for years of service
Business support for education or training after 9 months with the company
Learning & development opportunities (unlimited access to e-learnings and more)
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