Data Scientist
Brampton, Ontario, Canada
CAD 108K-150K (estimate) Mid-level Full Time
Tasks
- Build anomaly detection forecasting time series models
- Build dashboards and visualizations
- Build end to end data pipelines for analytics and ML
- Collaborate with cross-functional teams
- Design develop deploy production grade ML models
- Design scalable analytical data models and optimize feature engineering
- Develop batch and real time ML pipelines
- Document and govern data science workflows
- Integrate large language models for conversational analytics and RAG
- Operate MLOps workflows for training deployment monitoring drift detection
- Perform exploratory data analysis
Perks/Benefits
Skills/Tech-stack
AI Pipelines | Airflow | AlloyDB | Anomaly Detection | BigQuery | BigQuery Data Modeling | Cloud Composer | Cloud Functions | Common table expressions | Data Modeling | Databricks | Dataflow | Dataproc | ETL | Feature Store | Google Cloud | Kafka | LightGBM | MLOps | Model Registry | NumPy | Pandas | PostgreSQL | Pub/Sub | PyTorch | Python | Query Optimization | RisingWave | SQL | Scikit-learn | Series forecasting | Snowflake | Streaming Analytics | TensorFlow | Time Series | Time Series Forecasting | Vertex AI | Vertex AI pipelines | Window Functions | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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