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Data Model Jobs in British Columbia (NOW HIRING)

Data Scientist

Mcleese Lake, BC

CA$102K - CA$128K/yr

Training machine learning models on observational data sets from sensors and assays in the mine and mills. * Conducting exploratory data analyses to discover opportunities for process improvements ...

Training machine learning models on observational data sets from sensors and assays in the mine and mills. * Conducting exploratory data analyses to discover opportunities for process improvements ...

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

Training machine learning models on observational data sets from sensors and assays in the mine and mills. * Conducting exploratory data analyses to discover opportunities for process improvements ...

Senior Data Engineer

Vancouver, BC · Hybrid

CA$138K - CA$168K/yr

Experience in data modeling and building scalable data pipelines involving complex transformations * Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java ...

Data/Analytics Co-op

Vancouver, BC · On-site

CA$4.0K/mo

Build and maintain SQL and dbt data models that transform raw data into reliable, analytics-ready datasets. * Create reusable datasets and metrics that support consistent reporting and self-service ...

You will require deep expertise in data engineering and data modeling, and you will apply that knowledge across a modern Azure Databricks and Delta Lake platform using a medallion architecture ...

You'll run the event instrumentation pipeline, build the models and metrics layers that teams use ... When data engineering work needs doing, you can pick it up without missing a beat. This is a senior ...

Senior Data Developer

Vancouver, BC · Hybrid

CA$46.39 - CA$66.68/hr

Be a key member of the department's team, and be responsible for designing, maintaining, and troubleshooting data models, data pipelines, and implementing business logic needed to meet a wide range ...

Senior Data Developer

Vancouver, BC · Hybrid

CA$46.39 - CA$66.68/hr

Be a key member of the department's team, and be responsible for designing, maintaining, and troubleshooting data models, data pipelines, and implementing business logic needed to meet a wide range ...

Senior Data Quality Analyst

Vancouver, BC · On-site

CA$77K - CA$112K/yr

Research and understand undocumented or complex data models to support issue investigation and ongoing monitoring. * Work collaboratively with data stewards to design, document, and implement ...

The role supports data science models by enabling access to high quality, well-structured operational data and ensure data is reliable, consistent, and fit for purpose. As a key contributor to ...

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Showing results 1-20

Data Model information

What is the difference between Data Model vs Data Analyst?

AspectData ModelData Analyst
Primary RoleDesigns and structures data for databases and systemsAnalyzes data to generate insights and reports
Skills & CertificationsDatabase design, data modeling, SQL, certifications like CDMPData analysis, statistics, Excel, SQL, certifications like CAP or Microsoft Data Analyst
Work EnvironmentWorks with database systems, data warehouses, IT teamsWorks with business teams, reports, dashboards, data visualization tools
Industry UsageUsed in database design, data architecture, software developmentUsed in business intelligence, reporting, data-driven decision making

While Data Modelers focus on designing the structure of data systems, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but their primary objectives differ: one builds the foundation, the other analyzes the data.

What do data models do?

Data models are used by data modelers to define how data is structured, stored, and related within a database or information system. They help ensure data consistency, facilitate efficient data retrieval, and support the design of databases using tools like ER diagrams or UML. Data modelers often work with database management systems and require knowledge of data normalization and modeling techniques.
Infographic showing various Data Model job openings in British Columbia as of August 2026, with employment types broken down into 87% Full Time, and 13% Temporary. Highlights an 75% In-person, and 25% Hybrid job distribution.

CA$102K - CA$128K/yr

Full-time

Re-posted 28 days ago


Job description

Position Title

Data Scientist, Technical Services

Employment Type

Full-Time

Organization

Gibraltar Mine

Location

Mcleese Lake, BC

Reporting Relationship

Senior Engineer, Process Control

Salary Range

$102,700 to $128,300

About Trekor

Headquartered in Vancouver, British Columbia (BC), Canada, Trekor Metals Limited (Trekor) is a leading North American copper producer with a robust development pipeline of minerals projects and properties in Canada and the United States.

Known for seeing opportunities where other mining companies do not, Trekor has a two-decade track record of delivering value for shareholders, employees, communities where we operate, and others — from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second-largest copper producer, to transforming Arizona’s Florence Copper into the world's first greenfield in-situ copper recovery operation.

Trekor goes Beyond Potential.

For more information visit our website www.Trekormetals.com.

Role Overview

We are looking for an enthusiastic data scientist to join our technical services team. This role presents an opportunity to expand the site’s data science capabilities and support our data science lead.

Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:

  • Training machine learning models on observational data sets from sensors and assays in the mine and mills.
  • Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health.
  • Designing reports and visualizations to communicate KPIs and insights.

The position will also support other departments by providing broader on-site data management, wrangling, analysis, and modeling to support complex mining and milling processes.

Core Responsibilities
  • Contribute to ongoing model maintenance and optimization activities for existing machine learning tools.
  • Design and implement secure, automated end-to-end data pipelines from source data to analytics-ready datasets for use in production environments.
  • Conduct exploratory data analyses and correlation studies in collaboration with the milling and mining departments.
  • Develop scalable, testable, and reliable internal data science tools, primarily in Python.