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 โ from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second-largest copper producer, to transforming Arizonaโs 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 siteโs data science capabilities and support our data science lead.
Gibraltar Mine currently uses machine learning tools in our milling processes. This roleโs 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.