The role involves building predictive models to optimize customer experiences, revenue generation, and advertising targeting. Professionals in this position apply data science and generative AI techniques to analyze transaction data and deliver actionable insights to clients. The work includes developing agentic AI systems with multi-step reasoning and memory for payment decisioning workflows. Individuals will collaborate with internal teams to guide critical thinking and communicate strategic recommendations to clients. Additionally, the position requires creating visualizations to make complex analyses accessible and identifying opportunities to transform analyses into scalable products.

Candidates must possess at least two years of work experience along with a Bachelor’s or Advanced degree. Required technical proficiencies include experience with Python, SQL, Hive, Spark, and machine learning techniques. Applicants should also have experience with LLM orchestration frameworks, vector databases, and embedding models. Competence in Excel, PowerPoint, and Tableau is necessary for the role.