Sr Data Scientist
Tasks
- Analyze model behavior using logs and metrics
- Build feature engineering pipelines
- Collaborate on model deployment
- Contribute to ETL and data pipelines
- Define success metrics with stakeholders
- Improve latency reliability and cost
- Monitor and debug models in production
- Own production machine learning models
- Train and optimize real time bidding models
- Write production-quality Python code
Perks/Benefits
- 401k match
- Company observed holidays
- Dental insurance
- Inclusive culture
- Life insurance
- Medical insurance
- Paid time off
- Professional growth opportunity
- Vision insurance
- Work from home
Skills/Tech-stack
APIs | Airflow | CI/CD | CatBoost | Data Pipelines | ETL | Feature Engineering | Kubernetes | LightGBM | Machine Learning | Model Monitoring | Python | SQL | XGBoost
Education
N/A
Roles
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