workable
Sr. Data Scientist
Charger Logistics Inc
Brampton, CAN
Full-time
Senior · 6+ years experience
Onsite
Discovered 1 weeks ago
PythonPandasNumPyScikit-learnPyTorchTensorFlow
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonPandasNumPy
Key Skills for This Role
PythonPandasNumPyScikit-learnPyTorchTensorFlow
Full Job Posting
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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Charger Logistics Inc
Dispatch Coordinator
Calgary, CAN
Discovered TodayFull-time
Recruiter
Brampton, CAN
Discovered TodayFull-time
Safety & Compliance Coordinator
Brampton, CAN
Discovered YesterdayFull-time
Security Guard
Brampton, CAN
Discovered YesterdayFull-time
Finance Manager
, USA
Discovered 2 days agoFull-time
Sr. Data Scientist
, USA
Discovered 2 days agoFull-time
Senior AI Engineer
, USA
Discovered 2 days agoFull-time
Sr. Data Scientist
, USA
Discovered 2 days agoFull-time