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Description

Amazon's 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 Amazon’s technical products through evaluating the end-to-end customer experience. Our team’s 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. You'll 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.

Basic Qualifications

- PhD, or Master's 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

Preferred Qualifications

- 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 Company’s 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 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 $212,800/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.