Data Scientist

Tasks

• Build predictive machine learning models for lead quality and landing page intent
• Communicate findings and model specifications to non technical stakeholders
• Develop real time scoring pipelines for ad network postback signals
• Engineer features from user behavior data
• Forecast and support budget projection with data driven modeling
• Monitor model performance and iterate
• Perform exploratory data analysis and experimentation
• Quantify uncertainty and statistical significance
• Translate business logic into model outputs for marketing teams

Perks/Benefits

• N/A

Skills/Tech-stack

Classification | Clickstream Data | Clustering | Experimentation | Feature Engineering | Hypothesis Testing | LightGBM | MLOps | Machine Learning | Propensity Modeling | Python | Real Time | Real-time Inference | Regression | SQL | Scikit-learn | Statistical inference | XGBoost