Data Scientist - Pricing

Strong applied statistics and machine learning: EDA, correlation/association analysis, feature selection and importance, regression and classification, model validation. Proven ability to work with messy, real-world commercial data quotes, CRM/opportunity records, transactional pricing including cleaning, joining, and handling missing data. Prior experience with pricing analytics, price elasticity, win/loss modeling, or demand planning ideally in manufacturing, industrial, or B2B configured-pro…