Applied Scientist, Amazon Customer Service

Amazon; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

Amazon is seeking an Applied Scientist for its Customer Service team to leverage AI and ML techniques for defect elimination. This role involves developing innovative solutions, collaborating with cross-functional teams, and requires strong expertise in machine learning and programming.

Benefits

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Qualifications

• 3+ years of experience in building deep learning or machine learning models.
• Deep knowledge in machine learning or deep learning areas.

Responsibilities

• Develop ML/GenAI-powered solutions for automating defect elimination.
• Implement scalable scientific solutions in production environments.
• Perform statistical analyses and hypothesis testing.

Skills

Machine Learning

Deep Learning

NLP

Statistical Analysis

Education

Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field

PhD in computer science, machine learning, statistics, mathematics or equivalent quantitative field

Tools

Java

Python

Job description

Applied Scientist, Amazon Customer Service

Job ID: 3003569 | Amazon.com Services LLC

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.

The Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to eliminate systemic defects and prevent future issues.

As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that detect and organize issues, identify root causes, and route them to resolving teams across the company. You will leverage a spectrum of scientific techniques across both classical ML and Natural Language Processing/Generative AI (NLP)/GenAI to comb over our billions of customer interactions (using a combination of media).

In this role, you will collaborate with cross-functional teams (Product, Engineering, Program) and contribute to advancing the state of defect elimination research. This candidate should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.


Key job responsibilities
- Develop ML/GenAI-powered solutions for automating defect elimination workflows.
- Implement scalable and efficient scientific solutions in production environments.
- Design and implement robust metrics to evaluate the effectiveness of ML/AI models.
- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

A day in the life
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, full-time employees include:

- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply

BASIC QUALIFICATIONS

- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- 3+ years of building deep learning or machine learning models for business application experience
- Deep knowledge in one or more areas of machine learning or deep learning
- Experience programming in Java, Python or related language

PREFERRED QUALIFICATIONS

- PhD in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journal
- Experience with NLP and generative deep learning models (i.e. LLM)
- Ability to work collaboratively in a cross-functional team environment
- Ability to communicate with both technical and business stakeholders

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.