Data Scientist III

Careermine; Vancouver; Hybrid; CAD 107,000 - 132,000; Full time

Job summary

Teck is seeking a Data Scientist to lead end-to-end data science projects from exploration to deployment. You’ll build and productionize models with robust ML workflows in a hybrid Vancouver setting, focusing on mining/processing domains and stakeholder communication.

The role requires 5+ years in data science, advanced degrees, strong Python/Scikit-learn skills, and experience with Azure, Databricks, and Docker for scalable pipelines. Join Teck to drive measurable value in analytics.

Qualifications

• Must have a graduate degree in a quantitative field with practical DS experience.
• 5+ years in data science with ML modeling and production experience.
• Hands-on ML deployment, CI/CD for ML, and model monitoring experience.
• Strong Python programming and familiarity with Scikit-learn.

Responsibilities

• Design, develop, and deploy ML models and analytics in production.
• Build robust workflows with experiment tracking and drift detection.
• Collaborate with cross-functional teams to translate business problems into data solutions.
• Process large datasets using modern data engineering practices.
• Ensure scalable, reliable, and secure data pipelines and models.
• Communicate findings clearly to technical and non-technical stakeholders.
• Stay current with advances in data science and industrial analytics.

Skills

Python

Scikit-learn

MLOps

CI/CD for ML

Model deployment

Education

Master's or PhD in Data Science, CS, Statistics

Tools

Docker

Databricks

Azure

Job description

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 Lead, Data Scientist, the Data Scientist who joins the team is someone who excels in statistical modeling, machine learning, and AI, while also possessing strong capabilities in productionizing solutions and implementing mature workflows.

The successful candidate will work on end-to-end data science projects, from data exploration and model development to deployment and monitoring in production environments. Domain expertise in industrial contexts such as processing and mining is a significant advantage. Strong communication skills are essential to effectively share insights, educate stakeholders, and demonstrate the value of 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 rules and procedures.
• Design, develop, and deploy machine learning models, advanced analytics, and Generative AI solutions in production environments.
• Implement and maintain robust workflows, including experiment tracking, model versioning and performance evaluation, production model monitoring, drift detection, and retraining strategies.
• Collaborate with cross-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 scalability, reliability, and security of data pipelines and deployed models.
• Communicate findings clearly to technical and non-technical stakeholders, emphasizing model interpretability, actionable insights, and a clear understanding of the key drivers behind model behavior.
• Continuously evaluate and improve models based on feedback and evolving business needs.
• Stay current with emerging technologies and best practices in data science, machine learning, and industrial analytics.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field, with strong practical experience in applying Data Science techniques to real world problem settings.
• 5+ years of experience in data science, with proven expertise in machine learning and statistical modeling. Experience with causal inference or causal modeling approaches is a plus.
• Hands-on experience in productionizing ML solutions and implementing MLOps practices (e.g., CI/CD for ML, model monitoring, experiment tracking).
• Strong programming skills in Python and proficiency with ML frameworks (Scikit-learn).
• Experience with cloud platforms (e.g. Microsoft Azure), modern analytics platforms such as Databricks, and containerization (Docker).
• Solid understanding of data development principles and distributed systems.
• Familiarity with industrial domains such as processing and mining is highly desirable.
• Excellent communication and presentation skills to convey technical concepts to diverse audiences.
• Ability to work collaboratively in agile teams and adapt to fast-paced environments.
• Passion for innovation, continuous improvement, and a strong focus on delivering tangible value through data-driven solutions.

Pay Range

CAD $107,000 - $132,000 per year

The actual amount offered is determined based on the successful candidate's relevant experience, skills, and competencies and considers internal equity.

Why Teck

At Teck, your work matters-to the world, to our communities and to your future.

As a leading Canadian resource company, we focus on responsibly providing the metals essential for global development and the energy transition while caring for the people, communities and land that we love. We do this guided by our values that, together, form The Teck Way .

At Teck, you'll find purpose-driven work, a culture of respect and inclusion, and the opportunity to grow your career while helping build a better world.