Closed listing
Data Services Co-op
- Vancouver, BC, V6E 3C9, Canada
This opening has closed.
The original listing is kept below for reference.
Job details
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Role Overview
The Data Services Co-op supports the processing, refinement, and scaling of geoscience data to accelerate data readiness for clients and drive AI adoption in the mining industry. Positioned at the intersection of geoscience, data management, and modern data workflows, this role collaborates with cross-functional technical teams to optimize data pipelines, improve quality control standards, and help build the data foundation required for advanced AI/ML applications in the geoscience industry.
Core Responsibilities
- Data Processing & “Moonshot” Projects: Assist in collecting, cleaning, structuring, and standardizing diverse, large-scale geoscience datasets (e.g., spatial, geochemical, geophysical, and drillhole data) to support advanced analytics and AI-driven initiatives.
- Process & Workflow Improvements: Contribute to the design, testing, and automation of data ingestion and QA/QC workflows to enhance data processing efficiency, operational scalability, and data accuracy.
- AI Tooling & Testing Support: Support the evaluation, beta testing, and deployment of emerging AI/ML feature sets and internal data tools, providing practical feedback on data quality, usability, and edge cases.
- Documentation & Team Collaboration: Track project milestones, maintain documentation for standardized data protocols, and communicate progress, technical blockers, and updates across internal technical teams using standard operational tools.
Qualifications & Requirements
- Education: Currently enrolled in a post-secondary program in Geoscience, Earth Sciences, Data Analytics, Computer Science, or a related hybrid field (eligible for a formal co-op placement).
- Data & Technical Aptitude: Comfort working with structured datasets, data manipulation, and spatial/geoscience data concepts (e.g., GIS, relational databases, or tabular data formats).
- Analytical Mindset: Strong attention to detail with an interest in scalable data management, process optimization, and machine learning applications in the natural resources sector.
Assets
- Practical exposure to scripting languages (e.g., Python, SQL) for data manipulation and automation.
- Familiarity with cloud data platforms, version control tools, or data pipeline concepts.
More about this job
Responsibilities
The role involves processing, structuring, and standardizing large-scale geoscience datasets to support AI-driven initiatives. It also includes contributing to the automation of data workflows and supporting the testing of internal AI/ML tools.
Requirements
Candidates must be currently enrolled in a post-secondary program related to Geoscience, Data Analytics, or Computer Science. Strong analytical skills and familiarity with data manipulation, scripting languages, and spatial data concepts are required.
Skills
- Geoscience
- Data management
- Data processing
- Python
- SQL
- GIS
- Data pipelines
- Machine learning
- QA/QC
- Data analytics
- Automation
- Cloud data platforms
- Version control
- Spatial data
- Geochemical data
- Geophysical data
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Science & Research
- Technology
- Software
- Energy
Keywords
- Data Services
- Geoscience
- AI
- Machine Learning
- Data Pipelines
- QA/QC
- Python
- SQL
- GIS
- Spatial Data
- Geochemical
- Geophysical
- Drillhole Data
- Data Ingestion
- Automation
- Cloud Data Platforms
- Version Control
- Data Analytics
- Mining Industry
- Natural Resources