Data Scientist III
Company: Teck Resources Limited
Location: Vancouver, BC
Type: Full-time
Level: mid
Posted: 2026-02-19
About this role
Location: Vancouver, BC, Canada
Employment Type: Regular Full Time
Workplace Type: Hybrid
About our Vancouver Office
Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck’s Corporate Office sits in one of Canada’s most culturally diverse cities.
Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teck’s corporate functions - all working toward Teck’s purpose of providing the essential resources the world relies on.
## Role Overview
Reporting to the Manager, Data Science, we are looking for a highly skilled and adaptable Data Scientist to join our team. This position fits a “full stack” Data Scientist who thrives in statistical modeling and machine learning and has the ability to deploy solutions and operate mature MLOps workflows.
The successful candidate will lead data science projects end-to-end, including data exploration, model building, deployment, and production monitoring. Expertise in industrial sectors such as processing and mining is highly valued. Strong communication skills are critical to effectively share insights, educate participants, and highlight the benefits of the developed solutions.
Don't miss out on this outstanding opportunity to be part of one of Canada's leading mining companies and join our team!
## Key Responsibilities
- Be a courageous safety leader, adhere to and sponsor safety and environmental policies and procedures.
- Build, develop, and deploy machine learning models and advanced analytics solutions in production environments.
- Implement and maintain robust MLOps workflows, including experiment tracking, model versioning, and performance monitoring.
- Collaborate with multi-functional teams to understand business challenges and translate them into data-driven solutions.
- Collect, process, and analyze large-scale datasets from diverse sources using modern data engineering practices.
- Ensure scalabil...