Amazon Jobs
Customer Behavior Analytics Scientist
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, natural language models, recommendation systems, affinity models, reinforcement learning, and econometrics to drive personalized experiences throughout the customer journey.
Key Responsibilities
Design and develop state‑of‑the‑art deep learning and generative models for recommender systems to provide personalized experiences, including fine‑tuning, efficient contextualization, adapters, and evaluations.
Develop innovative statistical methods to calibrate predictions and corroborate them with data sources and behavioral signals.
Design and implement models that improve the overall relationship between customers and Amazon, focusing on long‑term customer value and satisfaction.
Apply reinforcement learning methods in production to continuously improve and adapt customer behavior models.
Develop and deploy sophisticated incentive recommendation models to optimize customer engagement and loyalty.
Leverage state‑of‑the‑art AI/ML techniques to extract insights from vast amounts of customer data.
Qualifications
Experience with programming languages such as Python, Java, C++.
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 explain 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.
Equal Opportunity Employer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation and Benefits The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Key Responsibilities
Design and develop state‑of‑the‑art deep learning and generative models for recommender systems to provide personalized experiences, including fine‑tuning, efficient contextualization, adapters, and evaluations.
Develop innovative statistical methods to calibrate predictions and corroborate them with data sources and behavioral signals.
Design and implement models that improve the overall relationship between customers and Amazon, focusing on long‑term customer value and satisfaction.
Apply reinforcement learning methods in production to continuously improve and adapt customer behavior models.
Develop and deploy sophisticated incentive recommendation models to optimize customer engagement and loyalty.
Leverage state‑of‑the‑art AI/ML techniques to extract insights from vast amounts of customer data.
Qualifications
Experience with programming languages such as Python, Java, C++.
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 explain 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.
Equal Opportunity Employer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation and Benefits The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr