Position Title: Data Scientist, Technical Services Employment Type: Full‑Time Organization: Gibraltar Mine Location: Williams Lake, BC Reporting Relationship: Senior Engineer, Process Control Salary Range: $102,700 to $128,300 About Taseko Taseko Mines Limited is a agile and growing mine operator headquartered in Vancouver, Canada. Focused on North America, Taseko is driven to unlock the true value of copper for a complex and changing world. The Company’s foundational asset is the long‑life, low‑cost Gibraltar copper mine in south‑central British Columbia, for which it has won numerous environmental and safety awards for operational excellence. Gibraltar is a state‑of‑the‑art facility and the second largest open pit copper mine in Canada, with a 700+ person workforce. Gibraltar produces an average of 130 million pounds of copper and 2.5 million pounds of molybdenum each year, with mineral reserves sufficient for more than 20 years of future operations. For more information visit our website 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 is 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 data sets for use in production environments. Conduct exploratory data analyses and correlation studies in collaboration with the mining and milling departments. Develop scalable, testable, and reliable internal data science tools, primarily in Python. Provide technical support and knowledge

📌 Data Scientist (Canada)
🏢 Gibraltar Mine
📍 Canada