Sr. Data Scientist, Programmatic Algorithms
Vancouver, British Columbia, Canada
CAD 165K-185K Senior-level Full Time
Tasks
- Build data pipelines feature stores and training datasets
- Build real time pricing algorithms
- Deploy real time inference models with low latency
- Design and deploy machine learning models
- Design and execute A B and holdout experiments
- Develop feedback loops for model adaptation
- Document models architectures and experimental findings
- Engineer high signal auction log and user features
- Forecast inventory availability and demand
- Measure causal impact on yield fill rate and revenue
- Monitor model performance and data drift
- Own full model lifecycle training evaluation deployment and testing
- Own inventory allocation routing pacing matching logic
- Research and implement contextual bandits and online learning
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Contextual Bandits | Data Drift | Data drift monitoring | Data pipeline | Drift monitoring | Experiment design | Feature Store | GRPC | Kafka | LightGBM | Machine Learning | Model Monitoring | Model versioning | Online Learning | PyTorch | Python | REST API | Real Time | Real-time Inference | Reinforcement Learning | SQL | Scikit-learn | Spark | TensorFlow | XGBoost
Education
Roles
Regions
Countries
States
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