Data Scientist

Gibraltar Mine • McLeese Lake, BC

6d • Onsite

About The Position

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, and 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.

Requirements

• A degree in computer science, information technology, mathematics, engineering, or a related field.
• Advanced proficiency with Python, especially utilizing common numerical, data management, machine learning, and visualization packages.
• Advanced proficiency with fundamental data science principles and algorithms.
• Advanced proficiency with numerical methods, algorithms, and data structures.
• Basic proficiency with writing SQL queries for data retrieval and manipulation.
• Basic proficiency with 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.

Nice To Haves

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

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.

Benefits

• Competitive salaries and vacation packages
• Health, dental, and disability insurance benefits
• RRSP matching program
• Opportunity for career and professional growth through development, education, and succession plan programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees