Sr. Data Scientist 4B

Overview

Sr. Data Scientist to build, deploy, and improve predictive analytics machine learning solutions for collections and customer engagement.

What you'll do

• Design, develop, validate, and deploy machine learning models for collections analytics.
• Conduct data exploration, feature engineering, model training, validation, and performance monitoring.
• Build scalable, production-ready machine learning pipelines.
• Translate business requirements into analytical and machine learning solutions with stakeholders.
• Evaluate and improve model performance using ML techniques and evaluation metrics.
• Document model processes, assumptions, methodologies, and deployment artifacts.
• Support continuous model monitoring and enhancements based on feedback and performance.

What you'll need

• Hands-on experience in machine learning, predictive analytics, and statistical modeling.
• Proficiency in Python and ML libraries/frameworks including Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, or PyTorch.
• Experience in feature engineering, model evaluation, hyperparameter tuning, and model explainability.
• Strong understanding of supervised learning (classification, regression, ensemble methods).
• Hands-on experience with SQL and large structured datasets.
• Understanding of deployment, monitoring, and MLOps practices.

Details

• Location: Bangalore (India), with hybrid work and a day shift (India).
• Employment type: Regular.