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Phd Computer Science Jobs in Vancouver, BC (NOW HIRING)

Data Scientist III

Vancouver, BC ยท Hybrid

CA$107K - CA$132K/yr

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 ...

Compiler Tech Lead

Richmond, BC ยท On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

Compiler Tech Lead

Richmond, BC ยท On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

Compiler Tech Lead

Vancouver, BC ยท On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

Compiler Tech Lead

Vancouver, BC ยท On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

Research Manager

Vancouver, BC ยท On-site

CA$7.1K - CA$10K/mo

John-Jose Nunez (a dual-trained psychiatrist and computer scientist) in collaboration with BC ... This role suits someone with research management experience, or who has completed a PhD or ...

Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields. * 2+ years of NLP industry experience for Master's degree holders or 1+ years ...

... computer science, machine learning, mathematics, or related field, Masters preferred 4-8 years of ... PhD degree) Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and ...

Principal Scientist - Toxicology

Vancouver, BC ยท On-site

CA$144K - CA$180K/yr

... science, methodologies, and evolving regulatory guidance, and proactively translating these ... You hold a PhD in Toxicology or a related field, with 8+ years of relevant industry experience ...

Showing results 21-40

Phd Computer Science information

See Vancouver, BC salary details

$20.6K

$73.8K

$153.3K

How much do phd computer science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for phd computer science in Vancouver, BC is $73,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,715.00 and $100,494.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Vancouver, BC?

For Phd Computer Science jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Vancouver, BC look for?

The top searched job categories for Phd Computer Science jobs in Vancouver, BC are:

Infographic showing various Phd Computer Science job openings in Vancouver, BC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,767 per year, or $35.5 per hour.

Data Scientist III

Teck

Vancouver, BC โ€ข Hybrid

CA$107K - CA$132K/yr

Full-time

Re-posted 28 days ago


Key responsibilities

  • 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.


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, Teckโ€™s Corporate Office sits in one of Canadaโ€™s most culturally diverse cities. 

Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teckโ€™s corporate functions - all working toward Teckโ€™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
  • Masterโ€™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 candidateโ€™s relevant experience, skills, and competencies and considers internal equity.

Why Teck

At Teck, your work mattersโ€”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, youโ€™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 doesnโ€™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