Data Scientist
Plano, TX, United States
R
USD 85K-105K (estimate) Mid-level Full Time
Tasks
- Automate scheduled scoring and model retraining
- Build executive presentations in PowerPoint
- Build next best action recommendations
- Build predictive machine learning models
- Conduct survival analysis
- Construct test and control audiences
- Contribute to impact assessment and back testing
- Convert proof of concept code to production components
- Create customer 360 data pipelines
- Create customer lifetime value prediction
- Deploy models to production
- Design and analyze A/B tests
- Develop customer segmentation
- Engineer feature pipelines
- Execute test vs control measurement frameworks
- Implement data drift and model drift monitoring
- Maintain reproducibility and data quality checks
- Monitor model performance and drift
- Perform market basket analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure | Azure DevOps | B testing | Basket analysis | CI/CD | Classification | Clustering | Confidence Intervals | Cross-validation | Data Quality | Data Quality Checks | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Drift Detection | Git | Gradient boosting | Hypothesis Testing | K-Means | MLOps | MLflow | Machine Learning | Market Basket | Market Basket Analysis | Model Monitoring | Model Serialization | Multivariate Testing | NumPy | Pandas | Propensity Modeling | PySpark | Python | Quality checks | REST APIs | RFM | Recommender Systems | Regression | SQL | Scikit-learn | Survival analysis | Tree-based Models | Uplift Modeling
Education
Roles
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