Machine Learning Analyst-Python and SQL

Manage and analyze large, complex data sets (internal and external) to evaluate and support business strategies in Customer Experience analytics.

Develop data pipelines involving extraction, cleaning, exploratory analysis, and application of statistical/machine learning models, with accountability for documentation and model validation.

Collaborate on code version control, automated deployments, and troubleshoot production issues ensuring data and model integrity within Credit Card or financial services contexts.

Bachelor's degree (Computer Science, IT, or related) with at least 5 years experience OR Master's degree with at least 4 years experience.

Hands-on expertise in Python, SQL, and Machine Learning mandatory; experience with PySpark, NLP, LLM/Gen AI, and software deployment pipelines preferred.

Experience working with large data sets and developing/validating machine learning models in production environments.

Preferred exposure to Customer Experience analytics and Credit Card business domain; familiarity with SDLC and Agile (Sprints) deployment cycles.

Mid-level analytics professional with strong technical skills in Python, SQL, ML and an understanding of deployment and production model maintenance.

Experienced in Customer Experience analytics with business impact limited to specialized analytics within financial services roles.

Familiar with structured software development processes including version control, automated testing, and CI/CD pipelines.