The role involves developing and enhancing pricing optimization models through statistical and machine learning techniques. The individual will analyze pricing elasticity to understand customer behavior and forecast business outcomes. Responsibilities include building, fine-tuning, and deploying models based on Generative AI and Large Language Models for scenario simulation and automated insights. The position requires integrating advanced AI frameworks into existing pricing workflows to improve operational processes. Furthermore, the role necessitates cross-functional collaboration to embed data-driven insights and communicate complex findings to various stakeholders.

Candidates must hold a Bachelors or Masters degree in Data Science, Statistics, Mathematics, Economics, or a related field. The role requires 58 years of hands-on experience in Data Science, specifically within pricing analytics or predictive modeling. Applicants need a strong foundation in Generative AI, Bayesian modeling, and applied machine learning. Proficiency in Python or R, along with experience using AWS SageMaker and various data and statistical libraries, is essential.