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Data Scientist III

Teck teck.com Open · verified Oct 24, 2026
Vancouver Mid-level Data Science

At a glance

Mid-level Data Science role at Teck. Vancouver · CA$107,000–CA$132,000 base.

SalaryStated by Teck
CA$107,000 – CA$132,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from TeckOur estimate for the market: CA$119,500–CA$165,000Median CA$165,000
Below the market median of CA$165,000 for mid-level data science roles in Vancouver.
Worked out from 5 postings that stated pay, median CA$165,000. Last updated Oct 15, 2026.
RoleData Science
SeniorityMid-level
LocationVancouver
Base payCA$107,000–CA$132,000
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and deploy machine learning, advanced analytics, and generative AI solutions for production use
  • Set up model workflows for versioning, experiment records, performance checks, monitoring, drift detection, and retraining
  • Turn business challenges into data-driven work with cross-functional teams, using large datasets from varied sources
  • Keep data pipelines and deployed models reliable, secure, and scalable, then improve models as needs change
  • Explain model drivers and findings to technical and non-technical audiences, focusing on interpretable, actionable insights

What you bring

  • A master's or doctoral degree in data science, computer science, statistics, or a related quantitative discipline
  • At least five years in data science, with practical strength in machine learning and statistical modeling
  • Hands-on experience putting ML solutions into production and applying MLOps practices such as monitoring and experiment tracking
  • Strong Python skills, plus experience with Scikit-learn, cloud platforms, analytics platforms, and Docker

Who this fits

This role suits someone who can carry data science work from exploration and model development through production monitoring, and explain results to varied audiences. The job is based in Vancouver and uses a hybrid workplace arrangement. Familiarity with processing or mining is an advantage.

From the employer

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.

Apply with us

Take the next step in your career by applying for the Data Scientist III role.

We review applications on a rolling basis and encourage you to apply, even if your background doesn’t match every requirement. We value diversity and are committed to an inclusive, barrier-free hiring process. Reasonable accommodations are available upon request.

Requisition ID: 54038 | Job Category: Technology | Employment Type: Regular Full Time | Location: Vancouver | Workplace Type: #LI - Hybrid

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.