AL

Associate Data Scientist

Vancouver, Greater Vancouver
On-site
Full-time
No salary postedYesterday
Employment type
Full-time · On-site
Posted
November 5, 2026
NOC code
21211 — Data scientists
Province
British Columbia (BC)More in British Columbia

Job Overview

This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
Job Description Job Description Description Machine Learning Maestro: You don’t just work with data - you decode it, predict the future with it, and turn it into action. Your models don’t just sit on a shelf - they shape strategy, optimize efficiency, and fuel company growth. You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications. If that sounds like you - read on. AlgaeCal is looking for a top-tier Associate Data S…

This role is based in British Columbia. The Canadian NOC code for this position is 21211 — Data scientists. AlgaeCal is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in British Columbia

Average salary for Data Scientist in British Columbia

Median $67,500 per year, with most postings between $67,500 and $71,250 (Data scientists, 2026-05, 7 postings). This posting does not state a salary.

NOC code

21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.

Licensing: No licence or registration is required.

All Data Scientist jobs in British Columbia

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Machine Learning
  • Data Analysis
  • Statistical Modeling

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What you'll do

  • Decode and analyze data to extract insights
  • Build and develop predictive models
  • Validate hypotheses through data-driven analysis
  • Embed machine learning models into real-world AI applications
  • Turn data insights into actionable business strategies
  • Optimize efficiency through data-driven solutions
  • Support company growth through analytics and modeling

What you'll need

  • Machine learning fundamentals knowledge
  • Data analysis and statistical modeling capabilities
  • Ability to work with datasets and uncover patterns
  • Problem-solving mindset
  • Understanding of hypothesis validation

About the Company

AL

AlgaeCal