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Added 2 days ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Proficiency in Python, SQL, and at least one strongly typed language (such as Java)
Added 2 days ago
Middleware Integration Engineer
Apptad
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Contract
Expert level scripting skills using Python (mandatory) and Shell
Added 2 days ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
Added 2 days ago
Machine Learning Engineer
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Toronto, ON
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Join the Digital - Engineering team at Flair as a Machine Learning Engineer, where you will play a key role in designing, building, deploying, and maintaining production machine learning…
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Lead Software Engineer – AI, Data Visualization & Platform
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Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability
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Database & Scripting - SQL and PL/SQL; custom scripting in Ruby, Python, Java, Groovy, or JavaScript; Custom Connectors via Connector SDK and Developer API.
Added 2 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
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Toronto, ON
$120,000 to $150,000 CAD / year
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Added 2 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$120,000 to $150,000 CAD / year
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Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 2 days ago
Data Engineer - Azure & AWS (Hybrid, Toronto/GTA - Big 5 Bank Client)
Tenacious Intelligence
Toronto, ON
$95,000 to $100,000 CAD / year
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Advanced SQL and Python with ETL/ELT experience
Added 2 days ago
Python automation Engineer
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Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
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Advanced SQL and strong Python (or a comparable language), with production engineering habits - version control, testing, code review, CI/CD.
Added 2 days ago
Quality Assurance Engineer
DarkVision
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Added 2 days ago
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to…
Added 3 days ago
Senior Data Engineer
RBC
Toronto, ON
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Added 28 days ago
Senior Data Engineer, Temporary
Aviso
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Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 3 days ago
Tech Lead | Canada
Cuesta Partners
Remote, Canada
$140,000 to $275,000 CAD / year
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Added 2 days ago
Python Engineer
Raas Infotek
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We are looking for an experienced Python Automation Engineer to design, develop, and maintain automation solutions that improve operational efficiency, reduce manual effort, and enhance…
Added 2 days ago
Python Engineer
Raas Infotek
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We are looking for an experienced Python Automation Engineer to design, develop, and maintain automation solutions that improve operational efficiency, reduce manual effort, and enhance…
Added 28 days ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
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Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 3 days ago
Full Stack Engineer
Zapcom Group Inc
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Looking for Sr full stack developers 8+ year's experience who needs to have core Java, Spring boot skills on backend and JavaScript and React skills on frontend.
Added 3 days ago
Python Automation Engineer
Raas Infotek
Mississauga, ON
Contract
We are looking for an experienced Python Automation Engineer to design, develop, and maintain automation solutions that improve operational efficiency, reduce manual effort, and enhance…
Added 11 days ago
Senior Data Engineer [GROWTH]
HelloFresh
Toronto, ON
Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL
Added 3 days ago
Python Developer with Automation frameworks
Raas Infotek
Mississauga, ON
Contract
We are looking for an experienced Python Automation Engineer to design, develop, and maintain automation solutions that improve operational efficiency, reduce manual effort, and enhance…

Charger Logistics Inc.

Sr. Data Scientist

Brampton, ON, Canada

Job type: Full-time
Apply by: Oct 18, 2026
Experience: 6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Posting language: English
Posted: Sep 18, 2026

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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 Sr. 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.
6+ 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

The Sr. Data Scientist will design, develop, and deploy production-grade machine learning models to optimize fleet operations and decision-making. They will also manage end-to-end data pipelines and integrate advanced AI solutions, including LLMs, into the company's logistics infrastructure.

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess at least 6 years of hands-on experience in data science and ML. Strong proficiency in Python, advanced SQL, and Google Cloud platform services is required for this role.

Skills

Python
Machine learning
SQL
Google Cloud
BigQuery
Vertex AI
Kafka
RisingWave
Data pipelines
LLMs
Time-series forecasting
Optimization
Predictive maintenance
Data modeling
MLOps
Statistics

Benefits

Competitive salary
Healthcare benefit package
Career growth

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Google Cloud
BigQuery
Vertex AI
Kafka
RisingWave
LLMs
MLOps
Fleet Analytics
Logistics Optimization
Predictive Maintenance
Time-series Forecasting
Data Pipelines
Snowflake
RAG
Airflow
Cloud Composer
Data Modeling
Statistics
Feature Engineering
Anomaly Detection
Geospatial ML
Computer Vision
Data Governance
Production-grade ML
ETL
Cloud Functions

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