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Added 10 mins ago
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Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 10 mins ago
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Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 44 mins ago
CS
Senior Network & Wireless Consultant (CCIE Wireless)
Compucom Staffing
Toronto, ON
- Full-time
Preferred certifications in Cisco CCNP Enterprise Wireless, Cisco Meraki Certification, Ekahau Certified Survey Engineer (ECSE), Cisco Security Certifications, Aruba Wireless…
Added 44 mins ago
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Digital Controls Technical Specialist
Trane Technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 1 hour ago
CL
Data Engineer
Codd Labs
Toronto, ON
- Contract
Data Engineer (Contract, LLM Exposure a Plus)
Added 1 hour ago
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Senior Director, Pharmacy Experience and Transformation
Shoppers Drug Mart
Toronto, ON
- Full-time
Post-Secondary education in Industrial or Process Engineer / Technology / Business/ Healthcare or Operations
Added 1 hour ago
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Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
Added 1 hour ago
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Principal Mining Engineer
Worley
Markham, ON · Oakville, ON
- Full-time
We are currently recruiting for a Principal Mining Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Oakville or Markham, Ontario…
Added 1 hour ago
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Intermediate Controls Engineer
Worley
Calgary, AB
- Full-time
We are seeking an Instrumentation & Controls Engineer to join our Consulting team in Edmonton or Calgary, Alberta, Canada, or Houston, Texas. This position is ideal for an engineer with 3-8…
Added 1 hour ago
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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 1 hour ago
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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 1 hour ago
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Cybersecurity Architect
CGI
Mississauga, ON
- Full-time
Added 1 hour ago
AI
Production Supervisor
Aversan Inc.
Montreal, QC
- Full-time
Engineer – Industrial Degree (Fabrication/ industrialization).
Added 2 hours ago
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Field Engineer
Green Infrastructure Partners
Markham, ON · Commerce Valley Dr W, Markham, ON
- Full-time
Added 2 hours ago
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Hardware Engineer
Actalent
Calgary, AB
- $90,000 to $100,000 CAD / year
- Full-time
Added 2 hours ago
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Structural Engineer
Actalent
Mississauga, ON
- $95 to $125 CAD / hour
- Contract
Professional Engineer registered in the Province of Ontario.
Added 2 hours ago
W
Principal Instrumentation Engineer
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
The Lead Instrumentation & Controls Engineer provides technical leadership and project delivery oversight for instrumentation and control (I&C) engineering services in support of Worley and…
Added 2 hours ago
W
Senior Civil Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Senior Arctic Civil/Roads Engineer for transportation infrastructure in the Arctic and remote environments. The role provides technical leadership for the…
Added 2 hours ago
W
Instrumentation Engineer Level II
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
The Instrumentation & Controls Engineer provides instrumentation and control (I&C) engineering services to Worley and its customers. The role supports the delivery of I&C engineering work…
Added 2 hours ago
W
Senior Instrumentation Engineer
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
The Senior or Principal Instrumentation & Controls Engineer provides technical leadership and instrumentation and control (I&C) engineering expertise across projects for Worley and its…
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
Eaton’s Mobility Group is currently seeking a Lead Radio Frequency Engineer to join our team. This position is based at our Port Coquitlam, BC facility and offers benefits from day one.
Added 2 hours ago
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Cloud Platform Engineer
Insight
Remote, Canada
- Full-time
- Remote
As a Cloud Platform Engineer, you will focus on project delivery across Azure and AWS environments. We will count on you to contribute to infrastructure design, implement platform…
Added 2 hours ago
PE
QA Support Engineer
PheedLoop Events
Toronto, ON
- Full-time
Added 2 hours ago
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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…

Charger Logistics Inc.

Data Scientist

Brampton, ON, Canada

Full-time

Apply About employer

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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

Apply About employer

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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