Senior Specialist, Yield Management - GTM AA Data Scientist

Key Responsibilities Design and implement Bayesian statistical models to forecast demand, pricing, and inventory allocation for GTM AA products. Develop, test, and deploy machine‑learning pipelines on AWS and Azure, ensuring reproducibility through CI/CD automation. Collaborate with product, finance, and engineering teams to translate business objectives into data‑driven solutions that maximize yield. Monitor model performance in production, conduct root‑cause analysis, and iterate to improve accuracy and scalability. Document methodologies, create visualizations, and present insights to senior stakeholders to support strategic decisions. Requirements 5+ years of experience in data science or quantitative analytics, with a focus on yield or revenue management. Proficiency in Python and statistical libraries (e.g., PyMC, Stan, scikit‑learn) for Bayesian modeling and machine learning. Hands‑on experience with cloud platforms (AWS, Azure) and CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Strong analytical mindset, ability to work with large, complex datasets, and communicate findings clearly. Advanced degree (M.S. or Ph.D.) in Statistics, Computer Science, Operations Research, or a related field is preferred. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.