Pranjal Mallick

About Pranjal Mallick

Applied Science leader with 17+ years of experience building and scaling machine learning solutions for high-impact, real-world applications. Currently leading a multi-disciplinary team at Amazon, owning the Buy Box offer selection model that powers over 80% of Amazon’s global orders. Proven track record of driving innovation in scalable machine learning systems, causal modeling, and algorithmic experimentation—with measurable business impact through patents, publications, and billion- dollar-scale deployments. Known for building high-performing teams, mentoring emerging talent, and fostering a culture of scientific excellence—exemplified by founding the Shopping Science Summit, uniting 500+ scientists across Amazon.

Experience

1. Applied Science Manager, Featured Merchant Algorithm

   Amazon

   Nov 2021 — Present · Seattle, WA, US

   Leading a specialized team of Senior Applied Scientists, Economists and Engineers, focused on advancing Amazon’s Buy Box model—a real-time decision engine that processes millions of requests every second, drives offer selection for hundreds of millions of customers and powers over 80% of Amazon’s global orders.– Manage and scale a high-performing team of senior scientists and engineers, influencing a broader organization of 70+ professionals– Define and execute long-term scientific vision through 3-year roadmaps and annual operating plans, with a focus on applied research in machine learning and causal inference– Led the development of a novel causal inference framework that integrates discrete choice modeling, double machine learning, and EM algorithms—enabling 10x faster model refresh cycles and removing the need for sequential A/B testing– Spearheaded cross-org collaborations with Delivery Experience, Search, and Personalization teams to build a customer-aware offer selection system that dynamically personalizes featured offers using real-time journey signals– Designed a transformative inter-ranking framework that intelligently compares diverse buying options like used, subscriptions, etc. across marketplaces, contributing $1.5 billion in incremental annual sales– Founded the Shopping Science Summit in 2024, bringing together over 500 scientists across Core Shopping, Search, and Personalization to foster scientific exchange and drive innovation

Education

• University of Florida

  MS, Applied Mathematics

  2007 — 2009

• St. Xavier's College, Calcutta

  BS, Mathematics (Major), Statistics, Physics

  2001 — 2004

• Indian Institute of Technology, Bombay

  MS, Pure Mathematics

  2004 — 2006