Amazon
Applied Scientist, Customer Behavior Analytics
4 days ago Be among the first 25 applicants
Description
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.
Key Responsibilities
Creating innovative deep learning and generative models for recommender systems to provide personalized experiences, including fine‑tuning, efficient contextualization, adapters, and 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.
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.
Basic Qualifications
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 explain modeling approaches and outcomes to business leaders with the right level of detail.
Preferred Qualifications
Experience using Unix/Linux.
4+ years of building machine‑learning models or developing algorithms for business applications.
Experience working on recommender systems or personalization within search, e‑commerce, shopping, advertising or other related fields.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job ID: A3130119
#J-18808-Ljbffr
Description
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.
Key Responsibilities
Creating innovative deep learning and generative models for recommender systems to provide personalized experiences, including fine‑tuning, efficient contextualization, adapters, and 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.
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.
Basic Qualifications
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 explain modeling approaches and outcomes to business leaders with the right level of detail.
Preferred Qualifications
Experience using Unix/Linux.
4+ years of building machine‑learning models or developing algorithms for business applications.
Experience working on recommender systems or personalization within search, e‑commerce, shopping, advertising or other related fields.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job ID: A3130119
#J-18808-Ljbffr