Arash Bozorgmehr
Director Pricing Analytics & Data Science @Chewy
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WORK HISTORY
Director Pricing Analytics & Data Science @Chewy
Seattle, WA, US
Lead the Pricing Analytics, Data Science/ML, and BIE organization supporting multiple businesses; set strategy, hiring, operating rhythms, and stakeholder alignment with Merchandising and Finance teams. • Sponsored and led GenAI assistants for pricing intelligence for quantitative and qualitative KPI insight and decision support. • Oversaw delivery of state-of-the-art Machine Learning pricing capabilities (elasticity-based optimization, Reinforcement Learning decision support, anomaly & policy-compliance monitoring) alongside a modern experimentation/causal-inference platform - resulting in a portfolio of profit-driver initiatives contributing in bottom-line impact.
EDUCATION
Georgia Institute of Technology
MBA and Master's Degree in Project Management, Finance and Financial Management Services
University of Tehran
Masters, Architecture Engineering
SKILLS
ABOUT ARASH BOZORGMEHR
Pricing science & analytics leader building high-performing teams and customer-centric, margin-accretive pricing systems. I lead Data Science, ML/AI, BIE, and Analytics to convert ambiguity into measurable outcomes across strategy, experimentation, and scaled deployment. At Chewy, I lead Pricing Analytics & Data Science - overseeing teams that delivered production ML (Elasticity Optimization and Reinforcement Learning decision support), launched A/B testing platform & causal measurement, and upgraded our machine learning operations. I led creation of internal GenAI LLM assistants for pricing intelligence and knowledge to accelerate day-to-day decisions. Previously at Amazon, I led pricing across Hardlines & Media, managing teams that built large-scale pricing and analytics solutions (elasticity modeling, competitive intelligence, dynamic pricing/markdown science) in partnership with Tech and ML. Across both companies, I’ve led multiple “firsts” and a portfolio of profit-driver initiatives delivering $300M+ in cumulative incremental benefit (career-to-date, aggregate).Specialties: Proficient in using multidisciplinary approach to problem-solving based on a broad understanding of global market paired with advanced data mining skills. History of excellence in- Strategic & Tactical Pricing Strategy, Price Elasticity Derivations, Revenue and Yield Optimization - Dynamic Pricing and Markdown optimization, Promotional Pricing, B2B Pricing- Gen AI Quantitative Applications, Customer Segmentation, Predictive Revenue Modeling
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