Data Scientist II
Tasks
- Build descriptive analytics solutions for commercial use cases
- Build, validate, and improve machine learning models
- Conduct statistical analysis
- Create data visualizations and presentations
- Design and evaluate experiments
- Develop predictive analytics solutions for customer engagement
- Develop reusable analytical workflows
- Document models and ensure code quality
- Measure engagement strategy performance
- Mentor junior data scientists
- Perform exploratory data analysis
- Stay current with analytics and AI methods
- Support data pipelines and scalable analytical assets
Perks/Benefits
- N/A
Skills/Tech-stack
Clustering | Data Pipelines | Data Visualization | Experimentation | Forecasting | Hypothesis Testing | MLOps | Machine Learning | Matplotlib | Power BI | PySpark | Python | R | Regression | SQL | Seaborn | Statistical Analysis | Tableau | Version control
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