6 meilleures offres (data scientist, winnipeg, mb) (à pourvoir)

Data Scientist
Bison Transport —Winnipeg, MB
- Temps plein
- Informatique
- Doctorat
- Maîtrise
- Programmes de Bien-être
il y a 6 jours
Business Systems Data Scientist
NFI Parts —Winnipeg, MB
- Temps plein
- SQL
- Gestion de projet
- Déplacements à prévoir
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Senior Research Assistant, Foundation AI for Scientific Materials Data
University of Winnipeg —Winnipeg, MB
- 20,11 $ de l’heure
- Informatique
- Maîtrise
- Baccalauréat
il y a 6 jours
Manager, Machine Learning Operations (MLOps)
Wawanesa —Winnipeg, MB
- De 140 000 $ à 180 000 $ par an
- Temps partiel
- Travail hybride
- Anglais
- Capacités de présentation
- Apprentissage automatique
Senior Research Assistant, AI-Supported Homelessness Risk Identification and Service Coordination
University of Winnipeg —Winnipeg, MB
- 20,11 $ de l’heure
- Microsoft Powerpoint
- Microsoft Word
- Informatique
il y a 6 jours
Senior Product Manager, Inventory & Analytics
EBlock Inc. —Canada
- De 140 000 $ à 160 000 $ par an
- Temps plein
- Télétravail
- Esprit d'analyse
- Baccalauréat
- Diplôme universitaire non requis
- Assurance Dentaire
- Congés payés

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Data Scientist
Bison Transport —Winnipeg, MB
STEM degree required; Master's or PhD in a quantitative field (statistics, applied math, operations research, physics, computer science, or similar) strongly…
il y a 6 jours
Senior Research Assistant, Foundation AI for Scientific Materials Data
University of Winnipeg —Winnipeg, MB
Develop software, scripts, and computational pipelines for data analysis, model development, and reproducible research.
20,11 $ de l’heure
il y a 6 jours

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data scientist (winnipeg, mb)

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Data Scientist

Bison Transport -
Winnipeg, MB

Postuler dès maintenant

Détails du poste

Temps plein
Il y a 6 jours

Profil recherché

Informatique
Statistique
Doctorat
R
Mathématiques
Maîtrise
SQL
Pandas
Apprentissage automatique
Scriptage
Python

Description complète du poste

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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data scientist emplois - winnipeg, mb

Data Scientist

Business Systems Data Scientist

Senior Research Assistant, Foundation AI for Scientific Materials Data

Manager, Machine Learning Operations (MLOps)

Senior Research Assistant, AI-Supported Homelessness Risk Identification and Service Coordination

Senior Product Manager, Inventory & Analytics

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data scientist (winnipeg, mb)

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