Applied Scientist, Customer Behavior Analytics

Amazon•Seattle, WA

83d

About The Position

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. In this role, you will be an analytical problem solver who enjoys exploring data, participating in problem-solving efforts, developing new frameworks, and engaging in investigations and algorithm development. You should be capable of effectively collaborating with technical teams and business stakeholders, pushing the boundaries of what is scientifically possible, and maintaining a sharp focus on measurable customer satisfaction and business impact. 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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.