Sr. Data Scientist 4B
Core
Develop, enhance, and optimize predictive analytics solutions for collections and customer engagement.
Role type
Senior Machine Learning Engineer (Collections Analytics)
Builds
Production-ready machine learning pipelines and predictive models for debt recovery and contact optimization.
Domain
Financial Services (BFSI) / Collections Analytics
Deliverable
production ML models
Required skills
Machine Learning, predictive analytics, statistical modeling, Python, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Pytorch, feature engineering, model evaluation, hyperparameter tuning, supervised learning, SQL, MLOps
Preferred skills
Collections domain expertise, Propensity to Pay modeling, Best Time to Call optimization, Customer Segmentation, AWS/Azure/GCP, GenAI/LLMs
Technologies
Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Pytorch, AWS, Azure, GCP, Amazon SageMaker
Responsibilities
Design and deploy ML models for collections analytics, perform data exploration and feature engineering, build scalable ML pipelines, collaborate with stakeholders to translate requirements, evaluate and improve model performance, document model development processes.
Seniority
Senior, hands-on IC
