Amazon-posted 1 day ago
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees

The Customer Behavior Analytics team designs innovative machine learning solutions to enhance customer experiences and strengthen their relationship with Amazon. This interdisciplinary team of scientists and engineers incubates and develops disruptive solutions using state-of-the-art technology to tackle some of the most challenging scientific problems in customer behavior analysis at Amazon. To achieve this, the team utilizes methods from deep learning, large language models (LLMs), natural language models, recommendation systems, affinity models, reinforcement learning, and econometrics to drive personalized experiences throughout the customer journey. As a Customer Behavior Analytics Scientist, you will have the opportunity to make a significant business impact, delve into large-scale problems, drive measurable actions, and collaborate closely with other scientists and engineers. You will be responsible for designing and developing state-of-the-art models and working with business, marketing, and engineering teams to address key challenges in customer behavior analytics. Your work will be crucial in shaping the future of customer behavior analytics at Amazon, driving innovation that directly impacts millions of customers worldwide. This position offers a high-visibility opportunity to contribute to solutions that are vital to improving customer satisfaction and loyalty, serving as a model for customer-centric solutions across the company.

  • Creating of innovative deep learning and generative models for recommender systems to provide personalized experiences, including fine-tuning, efficient contextualization, adapters, evaluations.
  • Developing innovative statistical methods to calibrate our predictions and corroborate them with data sources and behavioral signals.
  • Designing and implementing models that improve the overall relationship between customers and Amazon, focusing on long-term customer value and satisfaction.
  • Applying reinforcement learning methods in production to continuously improve and adapt customer behavior models.
  • Developing and deploying sophisticated incentive recommendation models to optimize customer engagement and loyalty.
  • Leveraging state-of-the-art AI/ML techniques to extract insights from vast amounts of customer data.
  • Effectively collaborating with technical teams and business stakeholders
  • Pushing the boundaries of what is scientifically possible
  • Maintaining a sharp focus on measurable customer satisfaction and business impact
  • Experience with programming languages such as Python, Java, C++
  • Have publications at top-tier peer-reviewed conferences or journals
  • PhD, or Master's degree and 3+ years of practical machine learning experience
  • Ability to simplify complex technical concepts and explaining modeling approaches and outcomes to business leaders with the right level of detail.
  • Experience using Unix/Linux
  • 4+ years of building machine learning models or developing algorithms for business application experience
  • Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields
  • equity
  • sign-on payments
  • medical
  • financial
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