Data Scientist
Brampton, Ontario, Canada
CAD 119K-148K (estimate) Mid-level Full Time
Tasks
- Build anomaly detection and forecasting models
- Build end-to-end data pipelines
- Create dashboards and visualizations
- Deploy machine learning models
- Design analytical data models and optimize SQL feature engineering
- Develop production grade machine learning models
- Implement retrieval-augmented generation
- Integrate large language models for conversational analytics
- Monitor vehicle health and operational deviations
- Operate MLOps workflows for training deployment monitoring
- Optimize routes and predict ETAs
- Perform exploratory data analysis
- Perform time-series analysis
- Scale real time machine learning pipelines
Perks/Benefits
Skills/Tech-stack
AI Pipelines | Airflow | Anomaly Detection | BigQuery | Cloud Composer | Cloud Functions | Dataflow | Dataproc | ETL | Feature Engineering | Feature Store | Google Cloud | Kafka | Language Models | Large Language Models | LightGBM | MLOps | Model Registry | NumPy | Pandas | Pub/Sub | PyTorch | Python | RAG | Retrieval-Augmented Generation | RisingWave | SQL | Scikit-learn | Series forecasting | Snowflake | TensorFlow | Time Series | Time Series Forecasting | Vertex AI | Vertex AI pipelines | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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