Data Scientist
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Summary
Designs and deploys ML models, builds feature pipelines, and translates business problems into modeling approaches while ensuring model explainability and performance.
- Build feature engineering and preprocessing pipelines
- Collaborate with product teams on model driven insights
- Conduct experiments and statistical validation
- Deploy models into production systems
- Design machine learning models
- Ensure model explainability and interpretability
- Monitor validate and improve model performance
- Translate business problems into modeling approaches
Perks/Benefits:
- 401k match
- Medical, dental, and vision coverage
- Paid time off
- Professional development