Geological Data Scientist I

Dahrouge Geological Consulting Ltd.Edmonton, AB
Hybrid

About The Position

This role involves processing and analyzing geological data using statistical and machine learning techniques, developing and maintaining databases, utilizing GIS software for mapping and spatial analysis, and designing/implementing software tools to support company operations. The position requires collaboration with geologists, engineers, and IT teams, as well as preparing detailed reports and presentations.

Requirements

  • Bachelor’s or Master’s degree in Geology, Geophysics, Data Science, Computing Science, Software Engineering, or a related field.
  • 3-5 years of experience in geology, geological data science, or geophysics, with demonstrated expertise in handling large geological datasets.
  • GIT, P.Geo or equivalent.
  • Familiarity with mining software (e.g., Leapfrog, Vulcan).
  • Strong foundation in geology, including mineralogy and structural geology.
  • Proficiency in GIS (e.g., ArcGIS, QGIS) for spatial analysis.
  • Expertise in data science, including statistical analysis and machine learning.
  • Skilled in programming languages such as Python, R, and SQL, with experience in developing data-driven tools.
  • Familiarity with mining and exploration software like Leapfrog or Vulcan.
  • Strong analytical and problem-solving abilities.
  • Ability to collaborate with multidisciplinary teams and communicate technical concepts clearly.

Responsibilities

  • Process and analyse geological data using statistical and machine learning techniques.
  • Develop and maintain databases to store and manage geological data.
  • Utilize GIS software to create maps and visualize geological data.
  • Perform spatial analysis to identify trends and patterns in geological data.
  • Design and implement software tools to support various aspects of the company’s operations.
  • Collaborate with IT and technical teams to ensure software solutions align with business objectives.
  • Work closely with geologists, engineers and other stakeholders to integrate data findings and software solutions.
  • Prepare detailed reports and presentations for internal and external audiences.
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