Data Scientist
Tasks
- Build predictive models
- Build real-time scoring pipelines
- Collaborate with marketing teams on lead quality tiers
- Conduct exploratory data analysis
- Deploy machine learning models
- Engineer predictive features
- Forecast and support budget projection
- Monitor and evaluate model performance
- Provide statistical insights
- Quantify uncertainty and statistical significance
- Segment and score landing page visitors
- Test hypotheses
- Translate business logic into model outputs
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Clickstream analytics | Clustering | Digital Marketing Analytics | Digital marketing | EDA | Feature Engineering | Forecasting | Hypothesis Testing | LightGBM | MLOps | Machine Learning | Marketing Analytics | Propensity Modeling | Python | Real Time | Real-time Inference | Regression | SQL | Scikit-learn | Segmentation | Series forecasting | Statistical inference | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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