Data Scientist
Brampton, Ontario, Canada
CAD 119K-150K (estimate) Mid-level Full Time
Tasks
- Build anomaly detection and time series forecasting models
- Build dashboards and visualizations for stakeholders
- Build end to end data pipelines for analytics and machine learning
- Collaborate with cross-functional teams to translate business problems into data science solutions
- Design develop and deploy production grade machine learning models for fleet optimization
- Design scalable analytical data models and optimize SQL feature engineering
- Develop batch and real time machine learning pipelines with low latency inference
- Integrate large language models for conversational analytics and RAG systems
- Operate MLOps workflows on Google Cloud for training deployment monitoring and drift detection
- Perform exploratory data analysis to uncover trends anomalies and insights
- Support model development experimentation documentation and data governance
Perks/Benefits
Skills/Tech-stack
AI Pipelines | Airflow | Anomaly Detection | BigQuery | Cloud Composer | Cloud Functions | Cloud platform | Common table expressions | Data Analysis | Data Clustering | Data Partitioning | Dataflow | Dataproc | Exploratory Data Analysis | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Kafka | Language Models | Large Language Models | LightGBM | MLOps | Machine Learning | Model Registry | NumPy | Pandas | Pub/Sub | PyTorch | Python | Query Optimization | Retrieval-Augmented Generation | RisingWave | SQL | Scikit-learn | Series forecasting | Snowflake | TensorFlow | Time Series | Time Series Forecasting | Vertex AI | Vertex AI Feature Store | Vertex AI pipelines | Window Functions | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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