The role involves developing and enhancing pricing optimization models using statistical and machine learning techniques. The individual will analyze pricing elasticity to forecast business impact and support strategic decision-making. Responsibilities include building, fine-tuning, and deploying models that utilize advanced AI capabilities. The position requires collaborating with cross-functional teams to integrate automated workflows into operational processes. Additionally, the role entails communicating complex analytical findings to various stakeholders and continuously exploring new techniques to improve solution accuracy and scalability.

The role requires a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or a related field. Candidates must possess 25 years of hands-on experience in data science, specifically within pricing analytics or predictive modeling. Necessary technical proficiencies include expertise in Generative AI, Bayesian modeling, and the use of AWS SageMaker for model lifecycle management. Furthermore, the position requires strong programming skills in Python or R, along with experience using various data and statistical libraries.