Geological Data Scientist I

Key Accountabilities Job Title Important Tasks / Activities / Outcomes Data Management & Analysis · Process and analyse geological data using statistical and machine learning techniques. · Develop and maintain databases to store and manage geological data. GIS and Spatial Analysis · Utilize GIS software to create maps and visualize geological data. · Perform spatial analysis to identify trends and patterns in geological data. Software Development · 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. Collaboration & Reporting · 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. Position Requirements Requirements Required Education · Bachelor’s or Master’s degree in Geology, Geophysics, Data Science, Computing Science, Software Engineering, or a related field. Experience · 3-5 years of experience in geology, geological data science, or geophysics, with demonstrated expertise in handling large geological datasets. Designations & Certifications · GIT, P.Geo or equivalent. Knowledge, Skills & Abilities · 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. Working Conditions Fieldwork * Exposure to harsh weather, extreme temperatures, and challenging terrain, which can cause discomfort and physical strain. * Potential hazards include wildlife, difficult topography, and adverse weather, varying by project and season. * Geological core logging requires lifting up to 60 lbs repeatedly and periods of intense focus. Office Work * Controlled environment with occasional pressure, particularly during deadlines. * Minimal hazards, but discomfort can arise from prolonged computer use. Overall * A strong commitment to safety is required, with adherence to protocols and PPE in the field. * Exposure to hazards varies based on project, location, and season, requiring adaptability. * Clear communication is essential for safety and maintaining a supportive work environment

Process and analyze geological data using statistical and machine learning techniques while developing software tools to support company operations. Collaborate with multidisciplinary teams to integrate data findings and prepare detailed technical reports.

Requires a Bachelor's or Master's degree in Geology, Data Science, or a related field with 3-5 years of experience handling large geological datasets. Must hold a GIT, P.Geo or equivalent certification and be proficient in GIS and programming languages like Python and SQL.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Statistical Analysis
• Machine Learning
• GIS
• Python
• R
• SQL
• Leapfrog
• Vulcan
• Spatial Analysis
• Data Management
• Software Development
• Mineralogy
• Structural Geology
• Core Logging
• Database Management
• Technical Reporting
• Software Solutions
• Map Production
• Business Objectives
• Git (Version Control System)
• Programming Languages
• Geographic Information Systems
• Adaptability
• ArcGIS (GIS Software)
• Communication
• Geology
• Geophysics
• R (Programming Language)
• Problem Solving
• Python (Programming Language)
• Operations
• Presentations
• Quantum GIS (QGIS)
• Software Engineering
• SQL (Programming Language)
• Collaboration
• Data Science

• Data & Analytics
• Science & Research
• Engineering
• Software
• Energy
• Clinical Data Scientist
• Data Scientist
• Systems Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine