Data Scientist - W2

Here is a short description of the Senior Data Scientist / Machine Learning Engineer (ML Productionization) role based on the provided job description and screening criteria:

• Role Overview: A centralized ML team position embedded to support the Customer Intelligence (CBI) initiative, focusing on taking machine learning models from prototype into scalable production environments.

• Experience Level: Requires a minimum of 8 years of professional experience (9+ preferred) alongside a Master's or PhD degree in a quantitative discipline.

• Core Technical Stack: Strong production-grade Python expertise, Databricks, Azure, SQL, parallel processing, and machine learning pipeline development/productionization.

• Top Must-Haves: MS/PhD in a quantitative field, expert-level Python production coding (modularization, testing, performance optimization), and hands-on ML pipeline orchestration, deployment, and monitoring.

• Key Responsibilities: Full technical ownership of productionizing ML pipelines, code refactoring/optimization, containerization, and collaborating closely with Data Scientists, Data Engineers, and business stakeholders.