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Added 19 mins ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
…design, deployment and operational support of advanced monitoring solutions across wireless and wireline technologies. You will serve as a technical expert in network visibility, device…
Added 19 mins ago
In Service Project Engineer
Capgemini
Montreal, QC
Added 19 mins ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 19 mins ago
Lead Software Engineer
Capgemini
Mississauga, ON
Works in the area of Software Engineering which encompasses the development maintenance and optimization of software solutions and applications.
Added 19 mins ago
C
AKS Workstream Lead
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Azure Solutions Architect Expert or Azure Administrator Associate
Added 19 mins ago
EI
Manufacturing Engineer
Ecolab Inc.
Calgary, AB
- Full-time
Founded in Calgary, Alberta in 2001, CoolIT Systems is the leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers. We design and…
Added 29 mins ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
…financial objectives. As a leading investment research and data company, we stand out by how we apply our insights to serve a broad range of users. Our independent investment research,…
Added 29 mins ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
…financial objectives. As a leading investment research and data company, we stand out by how we apply our insights to serve a broad range of users. Our independent investment research,…
Added 1 hour ago
CS
Senior Network & Wireless Consultant (CCIE Wireless)
Compucom Staffing
Toronto, ON
- Full-time
…experience delivering wireless, wired, and network security solutions within healthcare, government, financial, education, and enterprise environments. This role requires strong consulting,…
Added 1 hour ago
TT
Digital Controls Technical Specialist
Trane Technologies
Montreal, QC
- Full-time
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy…
Added 1 hour ago
SD
Senior Director, Pharmacy Experience and Transformation
Shoppers Drug Mart
Toronto, ON
- Full-time
Lead a portfolio of key transformation initiatives, including Experience Insights & Analysis, Pharmacy Experience Program (PEP), Rx Delivery, AI Call Agent and Assisted Data Entry.
Added 1 hour ago
W
Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Added 2 hours ago
A
Systems Validation Engineer - Data Center GPU
AMD
Markham, ON
- $84,000 to $126,000 USD / year
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will execute on SOC and system/rack level validation, triage and debug for the AMD Data…
Added 2 hours ago
C
Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
Added 2 hours ago
C
Cybersecurity Architect
CGI
Mississauga, ON
- Full-time
The Cybersecurity Solution Architect is responsible for designing secure, scalable, and resilient technology solutions that align with organizational security standards, enterprise…
Added 2 hours ago
A
Hardware Engineer
Actalent
Calgary, AB
- $90,000 to $100,000 CAD / year
- Full-time
…including nodes and related accessories such as charging racks, data-download solutions, communication interfaces, and USB connectivity. The operation builds approximately 100,000 nodes per…
Added 2 hours ago
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Principal Instrumentation Engineer
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
…they meet today's needs and transition to more sustainable…
Added 2 hours ago
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Innovative Data Platform Solution Engineer
Microsoft
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation,…
Added 2 hours ago
EC
Lead Radio Frequency Engineer
Eaton Corporation
Port Coquitlam, BC
- Full-time
The Senior Radio Frequency Engineer will be responsible for developing a range of new Wireless products. This new suite of products will extend Eaton’s already successful wireless solutions…
Added 2 hours ago
I
Cloud Platform Engineer
Insight
Remote, Canada
- Full-time
- Remote
…transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations…
Added 3 hours ago
L
Forward Deployed Engineer
Leyton
Vancouver, BC · Greater Vancouver, BC
- €30,000 to €50,000 EUR / year
- Full-time
As a Forward Deployed Engineer, you will work directly with business teams across different countries to identify opportunities, design solutions, build prototypes, and deliver AI-powered…
Added 3 hours ago
CB
Civil Utility - Heavy Equipment Operator
CapWest Build
Vancouver, BC
- Full-time
Operate vibratory drum compaction equipment to compact as per the Geotechnical Engineer's recommendations
Added 3 hours ago
CB
Coordinator, Capilano Energy
CapWest Build
Vancouver, BC
- Full-time
Review energy modelling and hourly data for heating and cooling.
Added 3 hours ago
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QA Engineer
Dutch
Vancouver, BC
- Full-time
We are currently seeking a motivated, hands-on, and customer-oriented QA Engineer to join our growing tech team. In this role, you will work directly with the engineering and product teams…
Added 4 hours ago
EN
Pipeline Integrity Technician
Echo NDE
Edmonton, AB
- Full-time
Echo NDE is a wholly owned subsidiary of TIC Solutions and provides full service non-destructive testing, inspection, and integrity services throughout North America. Our wide array of…

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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