Data Scientist
Tasks
- Build predictive models
- Collaborate on target variables and prediction windows
- Conduct model interpretability analysis
- Develop customer segmentation using clustering
- Document model logic and data assumptions
- Engineer features from multi source data
- Maintain and improve production models
- Perform data quality profiling
- Test model assumptions and quantify uncertainty
- Validate and evaluate model performance
Perks/Benefits
- 401k plan
- AD and D insurance
- Child Life Insurance
- Dental insurance
- Educational Assistance Plan
- Flexible savings account
- Health savings account
- Life insurance
- Medical insurance
- Spousal Life Insurance
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Clustering | Drift monitoring | Ensemble Methods | Feature Engineering | Git | Hypothesis Testing | Linear Regression | Logistic Regression | MLOps | Machine Learning | Matplotlib | Model Interpretability | Model versioning | NumPy | Oracle | Pandas | Pipeline Automation | Power analysis | Python | SHAP | SQL | Scikit-learn | Seaborn | Snowflake | Statistical modeling | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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