Data Scientist
Tasks
- Analyze user behavior data for lead quality
- Build predictive machine learning models
- Communicate findings to non-technical stakeholders
- Conduct exploratory data analysis and experimentation
- Design classification regression and clustering models
- Develop real time scoring pipelines
- Engineer predictive features from clickstream data
- Forecast and support budget projection with data driven modeling
- Monitor evaluate and iterate model performance
- Quantify uncertainty and statistical significance
- Translate business logic into quantifiable model outputs
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Clickstream analytics | Clustering | Data Exploration | Digital Marketing Analytics | Digital marketing | Experimentation | Feature Engineering | Hypothesis Testing | LightGBM | Machine Learning | Machine Learning Pipelines | Marketing Analytics | Propensity Modeling | Python | Real Time | Real-time Inference | Regression | SQL | Scikit-learn | Statistical inference | XGBoost
Education
N/A
Roles
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