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Added 20 mins ago
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Maintenance Technician I (PM Shift)
Factor_
Calgary, AB
- Full-time
Support upgrades, replacements, overhaul and installation projects
Added 36 mins ago
Customer Service Representative
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…equipment. As well as assisting customers, using up-to-date technology to dispatch and return equipment. This position offers on-the-job…
Added 36 mins ago
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Added 50 mins ago
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Class 5 Driver
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- Full-time
…recruitment process, please let us know. We use AI-assisted technology to support parts of our recruitment process; however, all hiring decisions are made by our team using human…
Added 51 mins ago
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Business Intelligence Analyst
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- Full-time
…solutions, and connecting information from multiple sources to support financial planning and…
Added 51 mins ago
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Executive Assistant
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- Full-time
Provide local office and event support for visiting customers and internal and external stakeholders, including meeting logistics and on-site coordination
Added 51 mins ago
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Analyst, Procurement Delivery
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Added 51 mins ago
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Procurement Delivery Lead
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Victoria, BC · CA Victoria
- Full-time
Proven ability to influence senior stakeholders across legal, technology, compliance, and the business without formal authority
Added 51 mins ago
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Operations Coordinator
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- Full-time
…continents, Intelcom | Dragonfly is Canada’s leader in last-mile logistics. Our vision is clear: to deliver fast, accurate, and reliable service powered by cutting-edge…
Added 1 hour ago
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Executive Assistant
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- Full-time
Provide local office and event support for visiting customers and internal and external stakeholders, including meeting logistics and on-site coordination
Added 1 hour ago
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Sales and Service Rep, Lead
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- Full-time
…products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported…
Added 1 hour ago
DL
Assistant Operations Manager
DelGate Logistics
Vancouver, BC
- Full-time
…role based in Vancouver, BC, supporting daily warehouse and logistics operations. This role assists in coordinating order fulfillment, inventory control, and last-mile delivery schedules to…
Added 1 hour ago
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Analyst, Procurement Delivery
BCI
Victoria, BC
- $78,000 to $95,000 CAD / year
- Full-time
Manage sourcing logistics, including scheduling vendor demonstrations, distributing materials, and tracking evaluation timelines
Added 1 hour ago
B
Procurement Delivery Lead
BCI
Victoria, BC
- $106,000 to $150,000 CAD / year
- Full-time
Proven ability to influence senior stakeholders across legal, technology, compliance, and the business without formal authority
Added 1 hour ago
LL
Solutions & Warehouse Specialist
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Port Coquitlam, BC
- Full-time
Founded on the common belief that client’s deserve better, Liberate Logistics delivers a full suite of freight forwarding and supply chain services to help client’s move their business…
Added 1 hour ago
C
Executive Assistant
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Ottawa, ON
- Full-time
Provide local office and event support for visiting customers and internal and external stakeholders, including meeting logistics and on-site coordination
Added 1 hour ago
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Senior Expeditor
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AB · Edmonton, AB
- Full-time
…fabrication, modularization, field installation, and professional support services for some of world's most challenging heavy-oil facilities, gas plants, power-stations, renewable energy,…
Added 1 hour ago
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Analyste fonctionnel(le) senior / Senior Functional Analyst
Nöord Technologies
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- Full-time
Analyze complex industrial processes (planning, production execution, materials, equipment, inventory, quality, logistics, traceability)
Added 1 hour ago
DW
Business Development Representative
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Vancouver, BC
- Full-time
Interest in SaaS, transportation, logistics, routing, or scheduling technology.
Added 1 hour ago
PT Jewellery Merchandiser - Sherwood Park
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You’re comfortable with technology, have access to the internet and an email account, and can work effectively without a ton of supervision
Added 2 hours ago
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Warehouse Manager - Vanfax
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- Full-time
Automotive glass technology is helping transform how we experience the road. At Belron Canada, the home office of Speedy Glass, Lebeau vitres d’auto and Vanfax we take this seriously, which…
Added 2 hours ago
MT
Opportunities for Bilingual Customer Service Representatives (6-Month Contract)
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Added 2 hours ago
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Cyber Security Engineer
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- $90,000 to $120,000 CAD / year
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Added 2 hours ago
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…Artificial intelligence is used solely as an evaluation tool to support the recruitment process. It never makes rejection decisions. All final decisions are made by our hiring team.…
Added 2 hours ago
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Charger Logistics Inc

Data Scientist

Brampton, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Posting language: English
Posted: Oct 5, 2026

Original job description

Charger Logistics Inc. is a leading asset-based transportation company with over 20 years of experience delivering innovative logistics solutions. We have evolved into a world-class transport provider and continue to expand across North America.

We invest in our people, fostering an environment where learning, growth, and career advancement are encouraged. As an entrepreneurial organization, we value initiative, creativity, and forward-thinking strategies. We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI-driven decision systems built on cloud platforms, including Google Cloud, Kafka, and RisingWave.

Responsibilities:

Design, develop, and deploy production-grade ML models for fleet optimization, including route optimization, ETA prediction, fuel efficiency, capacity planning, predictive maintenance, and driver behavior analysis.
Build anomaly detection, forecasting, and time-series models to monitor vehicle health, trip deviations, fuel theft, and demand fluctuations.
Develop batch and real-time ML pipelines with low-latency inference using Kafka, RisingWave, and cloud services.
Integrate large language models (OpenAI, Google MCP, Ollama, Hugging Face) for conversational analytics, automated insights, and retrieval-augmented generation (RAG) systems.
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Build and optimize end-to-end data pipelines for analytics and ML using BigQuery, Dataflow, Dataproc, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
Perform exploratory data analysis (EDA) to uncover trends, anomalies, and business insights.
Build dashboards and visualizations for stakeholders.
Collaborate with cross-functional teams to translate business problems into robust data science solutions.
Support best practices in model development, experimentation, documentation, and data governance.

Bachelor’s degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science.
4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Advanced SQL skills, including CTEs, window functions, and query optimization.
Hands-on experience with Google Cloud, including Vertex AI (training, pipelines, deployment, feature store) and BigQuery (data modeling, performance tuning).
Experience with streaming platforms (Kafka, RisingWave) and Snowflake.
Knowledge of anomaly detection, time-series forecasting, optimization, and applied statistical modeling.
Experience deploying and monitoring ML models in production, including testing, and working with ETL/orchestration tools like Matillion, Airflow, and Cloud Composer.
Familiarity with advanced ML and AI techniques, including LLMs, geospatial or graph ML, computer vision, and GPS data analysis.
Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
Experience with Azure, AWS, GCP, Databricks, or multi-cloud deployments is a plus.
Excellent communication and problem-solving skills, with the ability to thrive in fast-paced environments.
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.

Competitive Salary
Healthcare Benefit Package
Career Growth

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More about this job

Responsibilities

Design, develop, and deploy production-grade machine learning models for fleet optimization, logistics, and operational decision-making. Build and maintain scalable data pipelines and MLOps workflows using Google Cloud services and streaming platforms.

Requirements

Requires a bachelor's degree in a quantitative field and at least 4 years of hands-on experience in data science and machine learning. Candidates must possess strong proficiency in Python, advanced SQL, and experience with cloud-based ML deployment and streaming technologies.

Skills

Python
Machine Learning
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Data Modeling
Time-series Forecasting
LLMs
ETL
Airflow
Snowflake
Predictive Maintenance
Data Governance

Benefits

Healthcare Benefit Package
Career Growth

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Machine Learning
AI
Fleet Analytics
Logistics
Python
Pandas
NumPy
Scikit-learn
PyTorch
TensorFlow
XGBoost
LightGBM
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
LLMs
RAG
MLOps
Dataflow
Dataproc
Cloud Composer
Snowflake
Time-series Forecasting
Anomaly Detection
ETL
Data Governance

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