In Data Science Platform Squad, we build and maintain a generic, scalable, and governed platform for data science model execution of online models to enable an automated, compliant, and efficient Model Life Cycle process. We use technologies like Open-Shift to build a containerized platform for hosting model execution and deployment.
Our squad is responsible for:
- Hosting Python statistical and machine learning models. The solution is primarily serving the data science communities that develop the models on behalf of the many enterprise domains in the bank.
- AAPF is a platform, in conjunction with CMDEP, designed to execute machine learning models to score payment transactions for fraud. Payment transactions include e-banking domestic, international, and district international models deployed in CMDEP.
- Maintain and support package management with the tool Anaconda.
- FICO Blaze, which is a Decision Rule Engine management system encompassing decision modeling, decision service design, authoring, testing simulation, deployment, and maintenance.
- Shaping the current on-premises infrastructure into a cloud-native platform.
As Chapter Lead, you are an innovative and motivated leader who blends deep domain expertise with a passion for coaching and developing others. You serve as a “player and coach,” spending approximately 30% of your time managing your chapter and the remaining 70% of your time as a doer in a squad, delivering value by completing work.
