Data Scientist; Predictive Modeling

Position: Data Scientist (Predictive Modeling)
Role Overview :
We are looking for an experienced Data Scientist with strong  expertise in predictive modeling  and end-to-end machine learning lifecycle management. The ideal candidate will have hands-on experience building tree-based models and deploying scalable ML solutions in a cloud environment.

Key Responsibilities:

Develop and optimize predictive models using tree-based algorithms (e.g., Random Forest, Gradient Boosting, XGBoost).
Manage the complete ML lifecycle including data preparation, model training, validation, and deployment.
Deploy and monitor models in production using AWS Sage Maker.
Work with large datasets to extract insights and improve model performance.
Collaborate with engineering and product teams to integrate ML models into applications.
Ensure models are scalable, reliable, and continuously improved through monitoring and retraining.

Requirements:
5+ years of experience in Data Science or Machine Learning.
Strong hands-on experience with predictive modeling and tree-based algorithms.
Proficiency in Python and ML libraries (Scikit-learn, XGBoost, Light

GBM, etc.).

Experience with AWS Sage Maker for model training and deployment.
Experience in end-to-end ML pipeline development and production deployment.
Strong understanding of data preprocessing, feature engineering, and model evaluation.

Preferred  :
Experience working with large-scale production ML systems.
Familiarity with cloud-based ML infrastructure and MLOps practices.