Data Scientist
Tasks
- Build predictive machine learning models
- Communicate findings to non-technical stakeholders
- Develop and deploy real time scoring pipelines
- Engineer features from behavioral data
- Forecast budgets and support planning
- Monitor and iterate on model performance
- Perform exploratory data analysis
- Run experiments and hypothesis testing
- Segment and score visitors by intent and lead quality
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Clickstream analytics | Clustering | Data Pipelines | Experimentation | Feature Engineering | Hypothesis Testing | LightGBM | MLOps | Machine Learning | Propensity Modeling | Python | Real Time | Real-time Inference | Regression | SQL | Scikit-learn | Series forecasting | Statistical inference | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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