Economist Ii, Featured Merchant Algorithm

Amazon Amazon · Big Tech · Seattle, WA · Economics

The Economist II, Featured Merchant Algorithm role at Amazon focuses on developing and deploying machine learning models that determine the 'Buy Box' offer and surrounding customer experience on Amazon's platforms. This involves ranking and selecting the best offer based on factors like price, availability, and delivery, impacting billions of transactions daily. The role requires a PhD in economics, strong data-driven decision-making, collaboration with cross-functional teams, and expertise in prediction and forecasting with large datasets.

What you'd actually do

  1. Our team owns the model which picks that offer and the customer experience around the display of the offer price and the elements surrounding the 'Add to Cart' button which inform a purchase decision.
  2. We pick and display offers several billion times a day across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide.
  3. Our team blends machine learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon along with a world-class front-end user experience for offer comparison to our global customers.
  4. The Featured Merchant Algorithm (FMA) teams owns the Tier – I systems and Machine Learning algorithms that selects the offer to be featured on the Buy Box and on Amazon Search Pages.
  5. The team’s mission is to ensure that the featured offer provides the best possible customer value based on factors including price, availability, delivery options and customer service.

Skills

Required

  • PhD in economics
  • prediction and forecasting
  • handling of large datasets

Nice to have

  • statistical software package such as R, Stata, Matlab, SAS
  • 2+ years of industry, consulting, government, or academic research experience

What the JD emphasized

  • PhD in economics or equivalent
  • Experience in prediction and forecasting in a research or industrial environment
  • Experience with handling of large datasets

Other signals

  • ML models
  • customer experience
  • offer price
  • Add to Cart button
  • purchase decision
  • billions of times a day
  • worldwide
  • machine learning models
  • rank and select the best offer
  • trusted merchant
  • global customers
  • scalable and extensible frameworks
  • next-generation Amazon customer buying experience
  • Featured Merchant Algorithm (FMA)
  • Tier – I systems
  • Machine Learning algorithms
  • customer value
  • price
  • availability
  • delivery options
  • customer service
  • Amazon ‘Buy Box’
  • valued real estate
  • E-commerce world
  • customer facing functionality
  • Economist
  • business stakeholders
  • technical direction
  • business expertise
  • strategize
  • launch new businesses and features
  • customer friendly decisions
  • customer and financial impact
  • economists
  • engineers
  • product managers
  • applied scientists
  • TPMs
  • managers
  • senior leadership team
  • business impact
  • multiple projects
  • different stakeholders
  • data driven decisions
  • strong communication skills
  • executives
  • non-technical and technical individuals
  • high technical bar
  • people and project management
  • Amazon Marketplace
  • compete to be featured
  • Product Detail Page
  • Amazon Search Pages
  • Tier – I systems
  • Machine Learning algorithms
  • customer value
  • price
  • availability
  • delivery options
  • customer service
  • Amazon ‘Buy Box’
  • valued real estate
  • E-commerce world
  • customer facing functionality
  • Economist
  • business stakeholders
  • technical direction
  • business expertise
  • strategize
  • launch new businesses and features
  • customer friendly decisions
  • customer and financial impact
  • economists
  • engineers
  • product managers
  • applied scientists
  • TPMs
  • managers
  • senior leadership team
  • business impact
  • PhD in economics
  • 2+ years of industry, consulting, government, or academic research experience
  • prediction and forecasting
  • research or industrial environment
  • handling of large datasets