Data Scientist

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 [http://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. * 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. * The following experience is 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 Trekor 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 Trekor website at www.Trekormetals.com/careers/ [http://www.Trekormetals.com/careers/]. Trekor is an equal opportunity employer who encourages applications from candidates of all backgrounds and experiences.

The data scientist will develop and maintain machine learning models using sensor and assay data to optimize mining and milling processes. They will also design automated data pipelines and provide technical support to cross-functional teams to improve data-driven decision-making.

Candidates must hold a degree in computer science, mathematics, engineering, or a related field. Proficiency in Python and fundamental data science principles is required, with preference given to those with industrial experience.

• Competitive salaries • Vacation packages • Health insurance • Dental insurance • Disability insurance • RRSP matching program

• Data visualizationPreferred
• SQLPreferred
• Problem solvingPreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Machine learning
• Data science
• SQL
• Data visualization
• Exploratory data analysis
• Data pipelines
• Numerical methods
• Algorithms
• Data structures
• Feature engineering
• Process control
• Metallurgy
• Mining
• Communication skills
• Problem solving
• Milling
• Pipelines
• Energetic
• MLOps (Machine Learning Operations)
• Workflow Management
• Apache Airflow
• Git (Version Control System)
• Sensors
• Machine Learning Model Training
• Knowledge Transfer
• Technical Support
• Biochemical Assays
• Bash (Scripting Language)
• Management
• Containerization
• Version Control
• Communication
• Computer Science
• Information Technology
• Critical Thinking
• Data Governance
• Data Management
• Data Modeling
• Data Retrieval
• Data Structures
• Grinding
• Scalability
• Industrial Production
• Problem Solving
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Linux Commands
• Machine Learning
• Mathematics

• Data & Analytics
• Engineering
• Technology
• Science & Research
• Energy
• Data Scientist
• Systems Analysts
• Data Scientists

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week