Data Science Architect

A company is looking for a Data Science Architect.

Key Responsibilities

Collaborate with the customer team to understand and validate Java-based XGBoost models

Run Python-converted models on historical datasets and validate output metrics

Design unit tests and validation scenarios to ensure model readiness for signoff

Required Qualifications

7-10 years of hands-on experience with Python for machine learning, particularly XGBoost, scikit-learn, and NumPy / pandas

Proficiency in PySpark for data transformation and analysis

Experience in validating or reverse engineering ML models from legacy implementations

Exposure to Java-based ML libraries and understanding of cross-language mapping

Hands-on experience with Python frameworks for meta-modelling libraries