Data Scientist (Varying Levels)
Tasks
- Build data pipelines for model development
- Build end to end machine learning model lifecycle
- Collaborate with product and customer success teams on modeling strategy
- Communicate model results and methodology to stakeholders
- Develop predictive models for customer use cases
- Engineer features from diverse customer datasets
- Monitor model performance and evaluation metrics
- Train validate and deploy production models
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Data pipeline | Data pipeline orchestration | Docker | Feature Engineering | Machine Learning | Model Deployment | Model Monitoring | NumPy | Pandas | Pipeline Orchestration | Predictive Modeling | Python | SQL | Scikit-learn | XGBoost
Education
Roles
Regions
Countries
States
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