Description
Key Skills: Python, SQL, Machine Learning, Data Science, AI/ML, AWS, Statistical Analysis, Customer Segmentation, Databricks, Tableau
Good to Have Skills: Experience with Alteryx, GCP, Azure, SDLC concepts, large language models (LLM), agentic AI architectures, automation frameworks, model validation, quality assurance practices, data integrity in production environments, and advanced analytics solutions. Knowledge of financial services verticals, Co-Brand card products, and experience deploying models at scale.
Roles & Responsibilities:
- Drive analytics-driven business strategy and growth for Co-Brand Card partnerships within the Segmentation and Strategic Analytics team.
- Build and rigorously test new data and AI driven insights, owning the end-to-end analytical lifecycle from hypothesis to production-ready deliverables.
- Develop scalable frameworks for seamless AI model integration across business applications to support evolving Co-Brand partnership needs.
- Build and test AI agents, iterate designs to enhance functionality and user experience, and conduct rigorous testing for reliability.
- Create data pipelines and dashboards using Databricks, Python, Tableau and Alteryx to support AI-driven insights and business recommendations.
- Monitor AI model performance, identify areas for enhancement, and implement updates to maintain quality and relevance.
- Lead workstreams on agile teams to support data-driven decision-making, customer segmentation, and strategic partner relationship management.
- Translate complex analytical findings into actionable business recommendations for Co-Brand strategic initiatives and portfolio decisions.
Experience Required: 6+ years of experience in AI/ML or Data Science with degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related scientific field. Experience working in Card, Co-Brand, or other Financial Services verticals required