1

Temporary Data Scientist Machine Learning Jobs in Vancouver, BC

Data Scientist III

Vancouver, BC ยท Hybrid

CA$107K - CA$132K/yr

Design, develop, and deploy machine learning models, advanced analytics, and Generative AI ... Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field ...

Title and Summary Data Scientist II Overview The Security Solutions Data Science team is responsible for developing Artificial Intelligence (AI) and Machine Learning (ML) models that power Mastercard ...

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

... machine learning. Traditional approaches to small molecule drug discovery require over ten years ... We are searching for a chemical data scientist / cheminformatician to join us in our quest to ...

Machine Learning Scientist

Vancouver, BC ยท Remote

CA$150K - CA$200K/yr

Variational AI is searching for a machine learning scientist to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. For over six years, we ...

Machine Learning Engineer

Vancouver, BC ยท On-site

$128 - $192/hr

Bachelor's (Master's or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent * 3+ yrs experience as a member of a data science, machine learning engineering, or ...

Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains * Applying machine learning and data science ...

Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains * Applying machine learning and data science ...

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...

Machine Learning Engineer

Vancouver, BC ยท Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Collaborate cross-functionally with engineering, product management, operations and data science to ...

next page

Showing results 1-20

Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Vancouver, BC?

The most popular types of Data Scientist Machine Learning jobs in Vancouver, BC are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Vancouver, BC?

For Temporary Data Scientist Machine Learning jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Vancouver, BC look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Vancouver, BC are:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Data Scientist III

Teck

Vancouver, BC โ€ข Hybrid

CA$107K - CA$132K/yr

Full-time

Re-posted 25 days ago


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