Applied Scientist Customer Engagement Technology
Applied Scientist Customer Engagement Technology
Posted on :
13-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
13-04-2025
Job Description
As an Applied Scientist youll own the definition and implementation of customerfocused AIdriven innovation in Amazon Customer Service globally leveraging GenAI ML and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. Your expertise will be key in shaping datadriven strategies and addressing complex data challenges. With expertise in AI text analysis text embedding language modeling and generation youll design and develop scalable AIpowered technology solutions prioritize initiatives drive datadriven insights and deliver business impact. This position will advance applied science best practices leverage AI to drive customer experience (CX) improvements and set new global standards for customer experience. This role requires working with a crossfunctional team including scientists engineers and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML NLP and GenAI excellent written documentation skills and experience with big data technologies.
You should care deeply about customers and strive to deliver customer value through applied science. You should work well in a fastpaced setting using your skills to create effective solutions. With a combination of deep business knowhow and handson skills you will tackle complex challenges and drive continuous improvement.
Key job responsibilities
Develop innovative solutions to complex problems (e.g. extending the functionalities of conversational assistants).
Apply technical expertise to implement novel algorithms and modeling solutions in collaboration with other scientists and engineers.
Analyze data and define metrics to identify actionable insights and measure improvements in customer experience.
Communicate results and insights to both technical and nontechnical audiences through written reports presentations and internal and external publications.
Collaborate with product management and engineering teams to integrate and optimize models in production systems.
Come join a team of bright passionate and customerobsessed individuals who are having fun and making history! We would love to talk to you!
A day in the life
A typical day for an Applied Scientist in the Customer Service science team involves a combination of gaining business knowhow and handson problemsolving in NLP and GenAI. Youll tackle complex data initiatives ensuring alignment with customer needs and business objectives and translate business requirements into practical AIdriven solutions. Collaborating with crossfunctional teams youll design and enhance AI models focusing on efficiency precision and scalability. Your day involves monitoring data quality evaluating model performance and generating actionable insights from vast amounts of information. By the end of the day you will have resolved complex technical issues advanced important AI projects and conceived new ideas to improve how Amazon utilizes data to transform the customer experience.
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
Our science team is a new function within Customer Engagement Technology. We develop and apply generative AI (GenAI) computer vision machine learning ontologies and natural language processing (NLP) to enhance customer service associate experiences and improve foundational technologies.
3 years of building models for business application experience
Bachelors degree in computer science machine learning engineering or related fields
Advanced degree (PhD) in Computer Science Machine Learning Engineering or a related quantitative field.
Handson experience developing and deploying GenAI applications such as language models text classification.
Experience programming in Java C Python or related language
Strong understanding of GenAI or NLP fundamentals.
Proficiency in designing and implementing largescale data pipelines and cloudbased data infrastructure.
Proven track record of tackling highly ambiguous complex data challenges and delivering impactful solutions.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $136000/year in our lowest geographic market up to $223400/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.
You should care deeply about customers and strive to deliver customer value through applied science. You should work well in a fastpaced setting using your skills to create effective solutions. With a combination of deep business knowhow and handson skills you will tackle complex challenges and drive continuous improvement.
Key job responsibilities
Develop innovative solutions to complex problems (e.g. extending the functionalities of conversational assistants).
Apply technical expertise to implement novel algorithms and modeling solutions in collaboration with other scientists and engineers.
Analyze data and define metrics to identify actionable insights and measure improvements in customer experience.
Communicate results and insights to both technical and nontechnical audiences through written reports presentations and internal and external publications.
Collaborate with product management and engineering teams to integrate and optimize models in production systems.
Come join a team of bright passionate and customerobsessed individuals who are having fun and making history! We would love to talk to you!
A day in the life
A typical day for an Applied Scientist in the Customer Service science team involves a combination of gaining business knowhow and handson problemsolving in NLP and GenAI. Youll tackle complex data initiatives ensuring alignment with customer needs and business objectives and translate business requirements into practical AIdriven solutions. Collaborating with crossfunctional teams youll design and enhance AI models focusing on efficiency precision and scalability. Your day involves monitoring data quality evaluating model performance and generating actionable insights from vast amounts of information. By the end of the day you will have resolved complex technical issues advanced important AI projects and conceived new ideas to improve how Amazon utilizes data to transform the customer experience.
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
Our science team is a new function within Customer Engagement Technology. We develop and apply generative AI (GenAI) computer vision machine learning ontologies and natural language processing (NLP) to enhance customer service associate experiences and improve foundational technologies.
3 years of building models for business application experience
Bachelors degree in computer science machine learning engineering or related fields
Advanced degree (PhD) in Computer Science Machine Learning Engineering or a related quantitative field.
Handson experience developing and deploying GenAI applications such as language models text classification.
Experience programming in Java C Python or related language
Strong understanding of GenAI or NLP fundamentals.
Proficiency in designing and implementing largescale data pipelines and cloudbased data infrastructure.
Proven track record of tackling highly ambiguous complex data challenges and delivering impactful solutions.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $136000/year in our lowest geographic market up to $223400/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.
Employment Type
Full-Time
Key Skills
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