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Added 30 mins ago
Sr. Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
Job Summary: We are seeking a skilled Sr. Data Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data pipelines,…
Added 30 mins ago
Sr. AI Engineer
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Sr. AI Engineer – Vertex AI & GEAP Agent Builder with CI/CD experience (Not ML Engineers). More like Solution engineers.
Added 30 mins ago
Sr Python developer (Face to Face)
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Added 14 hours ago
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Added 1 day ago
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Added 1 day ago
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Added 3 days ago
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Added 2 days ago
Sr. Data Scientist
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Added 2 days ago
Software Development Manager
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…Director of Product and Engineering. This is a role for an engineer who leads, not a manager who used to build. You will lead a team of seven to eight experienced engineers who already own…
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Sr. Software Dev Engineer, Amazon Customer Service
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Added 2 days ago
Sr Software Engineer
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Software Development Manager
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$160,000 to $180,000 CAD / year
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…Director of Product and Engineering. This is a role for an engineer who leads, not a manager who used to build. You will lead a team of seven to eight experienced engineers who already own…
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…mining operations in the world. We are looking for a Mechanical Engineer, Engineer-in-Training (EIT), or experienced Engineering Technologist to join our core engineering team and help…
Added 11 days ago
Sr. Manager, Network Engineering
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$130,000 to $160,000 USD / year
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Added 2 days ago
Sr. Data Scientist
Charger Logistics Inc.
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Support best practices in model development, experimentation, documentation, and data governance.
Added 2 days ago
Senior Security Operations Specialist
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Full-time
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Added 2 days ago
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Added 2 days ago
Human Resources Business Partner (Junior)
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Collaborate with business leaders to identify and prioritize organizational capabilities, behaviors, and structures that support strategic goals.
Added 2 days ago
Sr. Integration Architect - Automation
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Added 3 days ago
Technical Program Manager
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…or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored…
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SAP Sr Software Engineer
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Charger Logistics Inc

Sr. Data Scientist

Brampton, ON, Canada

Job type: Full-time
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.

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.

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 and operational decision-making. Build and maintain real-time data pipelines and integrate large language models to provide automated insights and conversational analytics.

Requirements

Requires a bachelor's degree in a quantitative field and at least 6 years of hands-on experience in data science and machine learning. Candidates must possess strong proficiency in Python, advanced SQL, and experience with Google Cloud platform services.

Skills

Python
Machine Learning
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Data Pipelines
LLMs
Time-series forecasting
Anomaly detection
Optimization
Data modeling
MLOps
Statistics

Benefits

Healthcare Benefit Package

Visa sponsorship

Not detected in the job text

Keywords

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

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