Data Scientist
Tasks
- Analyze behavioral data with exploratory data analysis
- Build predictive machine learning models
- Communicate findings to non-technical stakeholders
- Create real time scoring pipelines
- Define intent and quality tiers with stakeholders
- Develop and deploy production ML pipelines
- Engineer features from clickstream data
- Monitor and iterate on model performance
- Quantify uncertainty and statistical significance
- Run experiments and hypothesis testing
- Segment and score landing page visitors
- Support forecasting and budget projection
Perks/Benefits
- N/A
Skills/Tech-stack
CPL | CVR | Classification | Clickstream analytics | Clustering | Conversion Rate | Conversion rate optimization | Digital Marketing Analytics | Digital marketing | Experimentation | Feature Engineering | Hypothesis Testing | LightGBM | MLOps | Machine Learning | Marketing Analytics | Propensity Modeling | Python | ROAS) | Rate optimization | Real Time | Real-time Inference | Regression | SQL | Scikit-learn | Segmentation Modeling | Series analysis | Statistical inference | Time Series | Time Series Analysis | XGBoost
Education
N/A
Roles
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