Sr. Data Scientist, Programmatic Algorithms
Tasks
- Build real time pricing algorithms
- Build retraining and model lifecycle workflows
- Collaborate on production ML and data architecture
- Deploy models for low latency inference
- Design and deploy machine learning models
- Design and execute A B and holdout experiments
- Engineer data pipelines feature stores and training datasets
- Evaluate models in live auction environments
- Forecast inventory availability and demand curves
- Implement feedback loops for model adaptation
- Monitor model performance data drift and system health
- Optimize auction pricing and yield
- Own inventory allocation and supply optimization
- Research and implement contextual bandits and online learning
- Serve real time features for production models
- Translate experiment results into business recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Contextual Bandits | Data Drift | Data drift monitoring | Drift monitoring | Experiment design | Feature Store | GRPC | Kafka | LightGBM | Low Latency | Low-latency serving | Machine Learning | Model Monitoring | Model versioning | Online Learning | PyTorch | Python | REST API | Real Time | Real-time Inference | Reinforcement Learning | Reprocessing | Retraining Pipelines | SQL | Scikit-learn | Spark | TensorFlow | XGBoost
Education
Roles
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