The role involves developing and enhancing pricing optimization models through statistical and machine learning techniques. The individual will analyze pricing elasticity to forecast business impact and customer behavior. Responsibilities include building and deploying Generative AI and Large Language Model-based solutions for scenario simulation and decision support. The position requires integrating advanced AI frameworks into existing pricing workflows. Furthermore, the role necessitates cross-functional collaboration to embed data-driven insights into operational processes and communicating findings to various stakeholders.

Candidates must possess a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or a related field. The role requires 25 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, alongside proficiency in Python or R. Additionally, expertise in AWS SageMaker and various data and statistical libraries is essential for the position.