[Hiring] Geodata Scientist @ALS

Role Description

The Geodata Scientist role at ALS Geoanalytics suits someone who enjoys solving complex geoscience problems and applying machine learning to real-world mineral exploration challenges. You will deliver consulting projects focused on prospectivity analysis, geoscience data integration, and predictive modelling, collaborating with clients and internal teams to produce actionable exploration insights, while also contributing to the advancement of ALS Geoanalytics' platforms by evaluating and implementing new ML methodologies and workflow improvements.

Specific Responsibilities:

• Execute mineral exploration and geoscience consulting projects using machine learning, statistical analysis, and spatial data integration techniques to support exploration in 2D and 3D.
• Effective collaboration with multidisciplinary teams of geologists, geophysicists, geochemists, and data scientists.
• Process, analyze, and interpret geophysical, geological, geochemical, remote sensing, and drilling datasets.
• Develop mineral prospectivity models, geological classification models, and geoscience data products using SmartSuite™ and supporting analytical tools and workflows.
• Prepare high quality technical reports, presentations, maps, and client deliverables.
• Present project results and recommendations to clients and stakeholders.
• Support project proposal development, project planning, and technical scoping activities.
• Adapt analytical workflows to address the unique challenges and data constraints associated with each project.
• Ensure up to date completion of timelogs/timesheets and business development activities using management system software (e.g., Zoho and HubSpot).
• Contribute to the ongoing development and enhancement of 2D and 3D machine learning mineral prospectivity and related workflows and capabilities.
• Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification methodologies for potential incorporation into company products and services.
• Assist in developing, testing, and validating new analytical tools and model diagnostics.
• Support software quality assurance, workflow optimization, and technical documentation.
• Collaborate with product and development teams to translate consulting experience into platform improvements and new product capabilities.
• Contribute to internal research and development initiatives focused on advancing geoscience analytics and exploration targeting methodologies.
• Participate in internal technical sessions to stay current on ALS consulting services and related offerings.
• Work with business development and marketing to collect and relay client feedback that supports improved collateral, brand awareness, and engagement.
• Occasional travel to office for training, collaboration, client meetings, and team building events.
• Provide structured updates to leadership on project task status and outlook.
• Observe established safety regulations and comply with all ALS health and safety policies and procedures.

Qualifications

• 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.
• Experience with uncertainty quantification, probabilistic modelling, Bayesian methods, or explainable AI techniques.
• Familiarity with geophysical, geological, geochemical, remote sensing, and drillhole datasets.
• Experience with cloud computing, scalable data processing, or software development practices.
• 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).
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Ability to work independently while collaborating effectively within multidisciplinary teams.
• Practiced in working with geospatial datasets and spatial analysis workflows.
• Strong understanding of machine learning and statistical modelling techniques.
• Proficiency in Python and common scientific computing libraries.
• Strong writing skills, with the ability to draft clear, structured content and summarize technical inputs for proposals, marketing materials, and client communications.

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.
• Manual dexterity to perform intricate and/or repetitive tasks.
• Wear issued personal protective equipment (PPE) such as dust masks, gloves etc., when required.
• Ability to sit at a desk and do general office work, which includes periodic sedentary responsibilities.
• Ability to conduct physically demanding geological field work in remote areas.

Benefits

• An estimated annual salary between $90,000 - $100,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.
• 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).
• Please note: Benefits vary based on employee status.