Lead Data Scientist - Merchandising & Pricing (REMOTE)

This role will require an emerging technical leader & SME with strong experience in traditional Machine Learning algorithms along with deep understanding of the cutting edge SOTA AI/GenAI methods used in Retail merchandising and Pricing data science initiatives. As a technical leader you will be influencing critical enterprise technical strategies both in the Machine Learning/AI space and neighboring spaces like forecasting, optimization, NLP, webservices, integrations with applications and data systems etc. You will partner with product, business, and engineering leads to design and implement data science powered intelligent tools for merchandising and pricing business partners and scale and help them understand the art of the possible with AI technology through deep technical design. RESPONSIBILITIES: Advanced Data Science Leadership: Lead design and implementation of advanced data science algorithms that improve merchandising and pricing business decisions, including building models for Demand forecasting, Assortment optimization, Price elasticity, and Inventory allocation and replenishment. Developing & Optimizing Demand Forecasting models: Designing and deploying demand forecasting algorithms that go beyond univariate time series to multivariate and hierarchical forecasts for predicting long range, multi-echelon sales forecasting, and that can handle cold start problems, reconciliation at all levels and works at scale.