The role involves collaborating with internal business units and external partners to address complex business challenges using large-scale transaction data. Professionals in this position will develop custom data models, algorithms, and predictive models to optimize product performance and marketing strategies. The work includes communicating findings to clients, creating accessible data visualizations, and identifying opportunities to transform analyses into scalable products. Team members will also monitor model performance and assess the effectiveness of new data sources. The position offers opportunities for rotation across various focus areas to gain broad exposure to the company's business operations.

Candidates must possess at least two years of work experience along with a Bachelor’s degree or an advanced degree. Preferred qualifications include a degree in an analytical field such as statistics, economics, or computer science. Applicants should demonstrate proficiency in data extraction, analytics, and visualization tools. Furthermore, the role requires experience with end-to-end machine learning workflows and the application of various modeling techniques to large datasets.