Winnipeg Mb Scientist Jobs – 4 Openings This Week

Data Scientist
Bison Transport —Winnipeg, MB
- Full-time
- Computer science
- Doctoral degree
- Master's degree
- Wellness program
Environmental Scientists/Field Technicians – Winnipeg Based
Parsons —Winnipeg, MB
- Travel
- Organizational skills
- Wellness program
- Dental care
DATA SCIENCE OFFICER
Manitoba Hydro —Winnipeg, MB
- $47.22–$65.19 an hour
- Microsoft Excel
- Azure
- Computer Science
12d
Intermediate Environmental Scientist
WSP —Winnipeg, MB
- $30.40–$45.20 an hour
- Databases

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Environmental Scientists/Field Technicians – Winnipeg Based
Parsons —Winnipeg, MB
Completion of field documentation such as job safety analysis (JSA) forms, project field reports, field notes, monitoring and chain-of-custody forms.
Senior Environmental Field Technician / Field Supervisor – Winnipeg Based
Parsons —Winnipeg, MB
Valid driver’s license and ability to travel to project sites in Manitoba, Saskatchewan, Northwest Territories, NW Ontario.

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Machine Learning Scientist - AI Trainer
DataAnnotation —Whitby, ON
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
$50.00–$140.56 an hour
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8d
Data Scientist - AI Trainer
DataAnnotation —Markham, ON
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
$50.00–$140.56 an hour
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8d

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Data Scientist

Bison Transport -
Winnipeg, MB

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Job details

Full-time

Qualifications

Computer science
Statistics
Doctoral degree
R
Mathematics
Master's degree
SQL
Pandas
Machine learning
Scripting
Python

Full job description

TheData Scientistapplies advanced mathematical, statistical, and machine learning methods to operational problems drawn from freight and transportation networks—routing, network structure, utilization, demand and cost modeling, and prediction. This is an analytical role, not a data engineering or MLOps role; the focus is on formalizing ambiguous business questions, selecting and defending appropriate methods, and communicating findings and their limitations to operational and executive stakeholders. Graph-structured data is central to how the business is modeled, so comfort reasoning about networks is a distinct advantage.

Responsibilities:

Translate ambiguous operational problems into well-posed statistical, mathematical, or graph-theoretic questions
Design and run analyses including statistical modeling, regression, optimization, simulation, and predictive/ML modeling
Build and validate predictive models, and clearly characterize where they generalize and where they do not
Work directly with real data—cleaning, exploring, and interrogating it before modeling
Communicate methods and results to operational and executive stakeholders, including the reasoning behind methodological choices and their limitations
Distinguish correlation from causation and signal from artifact, and state clearly when the data cannot answer the question

Qualifications:

STEM degree required; Master's or PhD in a quantitative field (statistics, applied math, operations research, physics, computer science, or similar) strongly preferred
4+ years of applied analytical or data science experience (mid–senior)
Strong foundation in statistics, probability, and applied mathematics (linear algebra, optimization, or similar)
Experience with predictive modeling and machine learning, and the judgment to know when a simpler method is the right one
Proficiency scripting in Python or R for analysis—clean, correct code, without an expectation of shipping production systems
Fluency with data manipulation (SQL, pandas/dplyr, or equivalent)
Ability to reason about uncertainty and clearly state assumptions and their consequences
Demonstrated ability to explain technical work to non-technical audiences
Graph/network analysis (community detection, flow, shortest-path, centrality) or graph-based ML
Time series, causal inference, or experimental design
Optimization or operations research applied to logistics, routing, or scheduling
Domain exposure in trucking, freight, logistics, or supply chain

This job is classified under NOC Code: 21211

Why Bison:

Thrive in a supportive team that provides coaching and training to help develop your skills and progress your career
Dispersed work environments that promote a healthy work-life balance
Meaningful and impactful work and projects with an essential service provider
Join our engaging Wellness Program& extracurricular sports teams

About Bison:

Celebrating over 50 years in Business
Active in giving back through Corporate Social Responsibility and Charitable Giving
Committed to environmental sustainability

Bison Transport is committed to Diversity and Inclusion in the Workplace.

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scientist jobs in winnipeg mb

Data Scientist

Environmental Scientists/Field Technicians – Winnipeg Based

DATA SCIENCE OFFICER

Intermediate Environmental Scientist

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