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Added 7 mins ago
Database & Geographic Information System (GIS) Geologist, Special Projects
Blue Moon Metals
Canada
…(GIS) Geologist to oversee geological databases, GIS systems, and digital data workflows supporting exploration and development projects. The successful candidate will provide technical…
Added 23 mins ago
Data Engineer - Analytics
Capgemini
Montreal, QC
Research and apply Generative AI, Cortex Platform capabilities, AI skills development, and emerging technologies to improve workflow automation, proactive risk identification, and…
Added 36 mins ago
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Spécialiste infonuagique et DevOps / Cloud & DevOps Specialist
Montrium
Montreal, QC
- Full-time
Added 1 hour ago
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AI Workflow Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We have a proven record of building and supporting production-ready software with clear modular separation, such as distinct services for parsing, logic handling, and reporting.
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Electrical Engineer
Dillon Consulting Limited
Halifax, NS
- Full-time
Contribute to business development activities including client need research, preparation of project proposals and presentations
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Hardware Engineering Co-op
Danaher Corporation
Concord, ON · CAN - Concord - AB Sciex LP
- Full-time
You will be a part of the Hardware Development team and report to a Senior Engineer that is responsible for New Product Development, Sustaining, and/or VAVE. If you thrive in a fast-paced…
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Lead Electrical Engineer
Danaher Corporation
Burnaby, BC · CAN - Burnaby - Cytiva
- Full-time
The Lead Electrical Engineer will play a key role in the design, development, and continuous improvement of electrical systems for advanced industrial automation equipment, including…
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Engineer - Project
Linamar Corporation
Guelph, ON
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Environmental Field Technician
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Toronto, ON · Etobicoke, Ontario
- Full-time
Provide mentorship, coaching and training to support development of junior field staff.
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Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
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Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Regularly provide feedback to product development teams: present project updates at service issue review meetings, attend design reviews to identify risks, submit continuous improvement…
Added 4 hours ago
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Project Manager, WUSA
University of Waterloo
Waterloo, ON · General Services Complex
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
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- Full-time
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Senior Full Stack Java Engineer - Workforce Management (WFM)
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AtkinsRéalis
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Semtech
Richmond, BC · CAN - Richmond, BC
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…Senior Director of Global Sales Operations to design, test, and document AI-enabled workflows that improve efficiency, consistency, and insight across real sales processes. This is not a…
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Ottawa, ON
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The Ottawa Hospital (TOH) is one of Canada's largest learning and research multi-campus hospitals. With more than 1,400 beds and approximately 17,000 staff, physicians, residents and…
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
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Added 9 hours ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 9 hours ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…

Charger Logistics Inc.

Data Scientist

Brampton, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 4, 2026
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.

Requirements

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.

Benefits

Competitive Salary
Healthcare Benefit Package
Career Growth

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More about this job

Responsibilities

Develop, deploy, and monitor production-grade machine learning and AI solutions for fleet optimization, logistics operations, forecasting, anomaly detection, and decision support. Build scalable batch and streaming data and ML pipelines, manage MLOps workflows on Google Cloud, and collaborate with stakeholders to turn business needs into analytical solutions.

Requirements

Requires a bachelor's degree or equivalent in data analytics, statistics, mathematics, or computer science, plus at least four years of hands-on data science and machine learning experience delivering production solutions. Candidates should have strong Python and SQL skills, experience with Google Cloud, Vertex AI, BigQuery, streaming platforms, and production ML deployment, along with knowledge of forecasting, optimization, and modern AI techniques.

Skills

Python
Machine Learning
Artificial Intelligence
Google Cloud
Vertex AI
BigQuery
SQL
Kafka
RisingWave
Snowflake
Time-Series Forecasting
Anomaly Detection
MLOps
Large Language Models
Retrieval-Augmented Generation
Data Pipeline Development

Benefits

Competitive Salary
Healthcare Benefit Package
Career Growth

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Artificial Intelligence
Python
Pandas
NumPy
Scikit-Learn
PyTorch
TensorFlow
XGBoost
LightGBM
Google Cloud
Vertex AI
BigQuery
Dataflow
Dataproc
Cloud Functions
Pub/Sub
Cloud Composer
Airflow
Kafka
RisingWave
Snowflake
AlloyDB PostgreSQL
MLOps
Large Language Models
Retrieval-Augmented Generation
Time-Series Forecasting
Anomaly Detection
Fleet Optimization

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