Data Scientist
Tasks
- Build and maintain real-time scoring pipelines
- Build predictive models
- Communicate document and present findings
- Conduct exploratory data analysis and experimentation
- Design develop deploy machine learning models
- Engineer predictive features from user behavior data
- Forecast and support budget projection
- Monitor evaluate iterate on model performance
- Quantify uncertainty assess statistical significance
- Segment and score landing page visitors
- Translate business logic into model outputs
- Validate hypotheses about campaign and source performance
Perks/Benefits
- N/A
Skills/Tech-stack
Cause analysis | Classification | Clickstream analytics | Clustering | Experimentation | Feature Engineering | Forecasting | Hypothesis Testing | LightGBM | Machine Learning | Propensity Modeling | Python | Real Time | Real-time Inference | Regression | Root Cause Analysis | Root cause | SQL | Scikit-learn | Series forecasting | Statistical inference | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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