Data Scientist III
USD 135K-177K (estimate) Senior-level Full Time
Tasks
- Build identity resolution
- Build next best action and journey signal models
- Build predictive churn and retention models
- Communicate methods results and tradeoffs
- Contribute to modeling standards with testable code
- Create recommendation and personalization models
- Develop cold start strategies
- Develop deterministic and probabilistic matching
- Own modeling workflows including feature engineering and validation
- Ship ML models as production services
- Source and analyze features from Snowflake SQL Server and AWS RDS Postgres
Perks/Benefits
Skills/Tech-stack
API serving | Airflow | Amazon RDS | Amazon SageMaker | Anomaly Detection | Batch serving | Churn Prediction | Cold Start | Containerization | Cross-validation | Docker | Embeddings | Entity Matching | FastAPI | Feature Stores | Graph Modeling | Identity resolution | Knowledge graphs | Metaflow | Personalization | Podman | PostgreSQL | Predictive Modeling | Propensity Modeling | Python | Real Time | Real-time Serving | Recommendation Systems | Retention modeling | SQL | SQL Server | Scikit-learn | Snowflake | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
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