Geodata Scientist

🕒 July 9

🇨🇦 Canada – Remote

💵 $90k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 3%

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Logo of ALS

ALS

10,000+ employees

💼 Consulting

🍽️ Food & Beverage

🏥 Healthcare

Consulting • Food & Beverage • Healthcare

<ALS> ALS is a global testing, inspection and analytical services company that provides laboratory and field-based analysis across environmental, mining, food & agrisciences, personal care/OTC, pharmaceutical and energy sectors. Its offerings include geochemistry and metallurgy, water and air monitoring, PFAS and oil/transformer fluid testing, microbiome sequencing, clinical and pharmaceutical studies, assay and inspection, condition monitoring, and related consulting, training and digital reporting tools. ALS supports clients with sample preparation, quality control, data-driven mineral exploration (including AI-powered analytics), and real-time result portals.

📋 Description

• 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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