Amazons Customer Experience and Business Trends (CXBT) is looking for a Research Scientist to redefine and build solutions to discover customer insights. Our team is dedicated to improving Amazons technical products through evaluating the end-to-end customer experience. Our teams mission is to constantly challenge the status quo and drive innovation to improve customer experience. We are building services to capture customer insights from a wide array of inputs. This role requires an expert in the areas of GenAI and machine learning with a keen interest in research. The ideal candidate will have experience with deep learning models for natural language processing tasks.
A successful candidate will have a passion for clarity be a self-starter comfortable with ambiguity have strong attention to detail be able to work in a fast-paced and entrepreneurial environment and be driven by a desire to innovate. Given the complex nature of the questions we are working on the ideal candidate will be relentlessly curious and be able to/be interested in having the business conversation underlying the data.
Key job responsibilities
- Adapt and develop new research methodologies to accelerate and advance discovery of customer insights.
- Publish and present your work at internal and external scientific venues in the fields of ML.
- Design and build ML solutions to capture business and customer insights from various data sources.
- Collaborate with scientists engineers and product managers to design and implement software solutions for data analysis
- Proficiency in model development validation and implementation for NLP applications
- Providing technical and scientific guidance to your team members
- Excellent verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to non-experts
A day in the life
As a scientist on the team you will be involved in every aspect of the process from idea generation business analysis and scientific research through to development and deployment of advanced models giving you a real sense of ownership. Youll research design and build new algorithms to capture customer insights from a wide array of data sources. Besides theoretical analysis and innovation you will work closely with talented engineers and put your algorithms and models into practice.
About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products services ideas and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g. consumers developers sellers/brands employees investors streamers gamers).
Our approach is based on determining the customer need along with problem solving and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team made up of a diverse set of profiles skills and backgrounds including: Scientists Product Managers Software Developers Computer Vision experts Solutions Architects Business Intelligence Engineers Business Analysts Risk Managers and more.
- PhD or Masters degree and 5 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Hands-on experience (academic or industrial) building ML models for natural language processing tasks using GenAI
- Proven track record of publishing research papers at peer-reviewed internal and/or external venues
- Knowledge of R MATLAB Python or similar scripting language
- Experience using cloud-based services and big data processing technologies such as AWS Redshift EMR Spark and Sagemaker.
- Experience using deep learning libraries such as TensorFlow or PyTorch particularly to solve natural language processing tasks.
- Prior work experience as a Research scientist or applied scientist at a consumer product company.
- Excellent problem-solving ability. Demonstrable track record of dealing well with ambiguity prioritizing needs and delivering results in a dynamic environment.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
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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 $212800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.