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