Data Scientist

Tasks

• Build predictive machine learning models for lead scoring
• Build real time scoring pipelines for ad network postback signals
• Collaborate with marketing and analytics to define quality tiers
• Communicate document and present findings to stakeholders
• Design exploratory data analysis and experimentation
• Engineer features from behavioral and clickstream data
• Forecast and support budget projection using data driven modeling
• Monitor evaluate and iterate on model performance
• Quantify uncertainty and assess statistical significance

Perks/Benefits

• N/A

Skills/Tech-stack

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