Data Scientist
Tasks
- Analyze historical pricing win loss vendor incentive and cost data
- Build deal scoring and prioritization models
- Create dashboards and visualizations for pricing performance insights
- Develop machine learning models for pricing optimization
- Ensure access to clean structured data pipelines
- Run A B testing and pilot deployments
- Translate models into tools and decision aids for sales and finance
- Use regression clustering time series forecasting and classification on commercial datasets
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Classification | Clustering | Data Pipelines | Data Visualization | Machine Learning | Power BI | Python | R | Regression | SQL | Scikit-learn | Series forecasting | Statistical Analysis | Tableau | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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