Data Scientist

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 dynamic 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 www.tasekomines.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 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 transfer to other teams to enable them to utilize their data effectively.

Prepare compelling visualizations to support technical findings and report on business‑level key performance indicators (KPIs).

Act as an expert resource for site‑based supervisory, technical, and management personnel in integrating data science into Gibraltar’s core functions.

Respect and uphold the safety expectations entailed by working on an industrial mine site.

Education & Experience

A degree in computer science, information technology, mathematics, engineering, or a related field.

Candidates with advanced degrees and/or prior relevant work experience will be given favorable consideration.

Skills & Competencies

Brings high‑energy and passion to the job.

Excellent problem solving, critical thinking, and communication skills.

Advanced proficiency with:

Python, especially utilizing common numerical, data management, machine learning, and visualization packages.

Fundamental data science principles and algorithms.

Numerical methods, algorithms, and data structures.

Basic proficiency with:

Writing SQL queries for data retrieval and manipulation.

Using and interpreting machine learning explanation/interrogation tools.

Ability to clearly communicate technical concepts to technical and non‑technical stakeholders.

Ability to coordinate with multidisciplinary teams and integrate diverse perspectives from experts into deliverables.

Experience Considered an Asset

Implementing data governance, cleaning, and analytics pipelines in an industrial production environment.

Linux command line interface, bash scripting, workflow orchestration with Airflow, containerization with Docker, version control with Git, and MLOps practices.

Mining/industrial work experience in metallurgy, open pit mining, grinding, copper flotation, and/or process control.

The Community

Williams Lake has a population of approximately 12,000 but services nearly 25,000 as it is a central hub for many outlying smaller communities.

Adult recreational leagues for many popular sports including hockey, soccer, and softball.

A fantastic trail network for mountain biking, walking, and hiking.

Dozens of nearby lakes for fishing, paddling, and camping opportunities.

Close by cross‑country and downhill skiing venues.

Compensation At all Taseko locations, we pride ourselves in offering a challenging and rewarding work environment. Our employees have the opportunity for career and professional growth through development, education, and succession plan programs.

Additionally, our compensation and benefits package includes competitive salaries and vacation packages, health, dental, and disability insurance benefits, and an RRSP matching program.

How to Apply To apply for this exciting position and join our growing and dynamic organization, apply via the Taseko website at www.tasekomines.com/careers/.

Taseko is an equal opportunity employer who encourages applications from candidates of all backgrounds and experiences.

#J-18808-Ljbffr