Data Science Manager Customer Engagement Technology
Data Science Manager Customer Engagement Technology
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 142300 - 272400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
The Data Science Manager in Natural Language Processing (NLP) within the Customer Engagement Technology SelfService and Automation team will work on the research design and implementation of solutions to key challenges in developing evaluating and deploying solutions based on large pretrained language models into conversational Artificial Intelligence (AI) systems that can understand and communicate with customers in a natural and contextually appropriate manner.
This involves model development in areas such as multiturn dialogue management knowledge grounding and openended generation and assessment of dialogue quality and style of the conversational model.
Key job responsibilities
Lead a data science team to accelerate the development and deployment of chatbot scaling. This team will play a pivotal role in optimizing HumanintheLoop (HITL) tasks.
Implement stateoftheart Natural Language Processing (NLP) and Machine Learning (ML) models for tasks such as language understanding dialogue management and response generation and dialogue quality assessment.
Collaborate with crossfunctional teams including applied scientists software engineers and product managers to integrate Large Language Model (LLM)based solutions into Amazons customer service platforms.
Develop and implement strategies for data collection annotation and model training to ensure highquality and robust performance of the chatbots.
Conduct experiments and evaluations to measure the performance of the developed models and systems and identify areas for improvement.
Stay uptodate with the latest advancements in NLP LLMs and conversational AI and explore opportunities to incorporate new techniques and technologies into Amazons customer service solutions.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science and product teams to foster an innovative learning environment
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
Join our team of scientists and engineers who develop and deploy Large Language Model (LLM)based solutions systems to enhance Amazons customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently and associatefacing products that support our customer service associate workforce.
5 years of building quantitative solutions as a scientist or science manager experience
2 years of scientists or machine learning engineers management experience
Ph.D. in computer science mathematics statistics machine learning or equivalent quantitative field
Knowledge of Python or R or other scripting language
Experience working with scientists economists software developers or product managers
5 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
Experience in applying statistical models for largescale application and building automated analytical systems
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $142300/year in our lowest geographic market up to $272400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
This involves model development in areas such as multiturn dialogue management knowledge grounding and openended generation and assessment of dialogue quality and style of the conversational model.
Key job responsibilities
Lead a data science team to accelerate the development and deployment of chatbot scaling. This team will play a pivotal role in optimizing HumanintheLoop (HITL) tasks.
Implement stateoftheart Natural Language Processing (NLP) and Machine Learning (ML) models for tasks such as language understanding dialogue management and response generation and dialogue quality assessment.
Collaborate with crossfunctional teams including applied scientists software engineers and product managers to integrate Large Language Model (LLM)based solutions into Amazons customer service platforms.
Develop and implement strategies for data collection annotation and model training to ensure highquality and robust performance of the chatbots.
Conduct experiments and evaluations to measure the performance of the developed models and systems and identify areas for improvement.
Stay uptodate with the latest advancements in NLP LLMs and conversational AI and explore opportunities to incorporate new techniques and technologies into Amazons customer service solutions.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science and product teams to foster an innovative learning environment
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
Join our team of scientists and engineers who develop and deploy Large Language Model (LLM)based solutions systems to enhance Amazons customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently and associatefacing products that support our customer service associate workforce.
5 years of building quantitative solutions as a scientist or science manager experience
2 years of scientists or machine learning engineers management experience
Ph.D. in computer science mathematics statistics machine learning or equivalent quantitative field
Knowledge of Python or R or other scripting language
Experience working with scientists economists software developers or product managers
5 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
Experience in applying statistical models for largescale application and building automated analytical systems
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $142300/year in our lowest geographic market up to $272400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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