Amazon Postdoctoral Scientist , Perfect Order Experience (POE), Trustworthy Shopping Experience[...]

Amazon; Seattle (WA); On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Postdoctoral Scientist to enhance decision optimization and causal inference in a dynamic research environment. This full-time role offers the chance to leverage advanced statistical techniques and machine learning to extract valuable insights from data. You will collaborate with a diverse team, publish your work in top-tier venues, and tackle challenges in data scarcity. Join a vibrant community focused on impactful projects that optimize business decisions and drive economic solutions. If you are passionate about research and eager to make a difference, this opportunity is perfect for you.

Qualifications

• PhD in a relevant field, received within 2 years of starting the program.
• Proven publication record in Operation Research, Statistics, or Machine Learning.

Responsibilities

• Leverage advanced statistical techniques to extract insights from data.
• Collaborate with teams to develop and deploy production-ready solutions.

Skills

Statistical Techniques

Machine Learning

Quantitative Research

Communication Skills

Education

PhD in a relevant field

Tools

Statistical Software

Job description

Amazon Postdoctoral Scientist , Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE)

Job ID: 2645338 | Amazon.com Services LLC

Amazon is looking for a talented Postdoctoral Scientist to join our Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE) team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in decision optimization and causal inference.

In this role, you will have the opportunity to:

1. Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.
2. Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
3. Collaborate with cross-functional teams to develop and deploy production-ready solutions.
4. Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields.

Key job responsibilities

In this role you will:

1. Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
2. Publish your innovation in top-tier academic venues and hone your presentation skills.
3. Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

About the team

We are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long-term potential across the business. Our products are models, scalable services, and actionable insights. We proactively identify and explore opportunities on behalf of our business partners.

BASIC QUALIFICATIONS

Basic qualifications include:

1. PhD in a relevant field, received within 2 years of starting the program
2. Proven publication record in Operation Research, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields
3. Experience in quantitative research and foundation models
4. Proficiency in technologies relevant to the subfield

PREFERRED QUALIFICATIONS

Postdocs demonstrate the following preferred job qualifications:

1. Ability to independently deliver results in a fast-paced environment
2. Publications at top-tier, peer-reviewed conferences and/or journals
3. Exceptional verbal and written communication skills
4. Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Required application materials:

1. CV, which lists all peer-reviewed publications and conferences
2. Research statement that outlines your research achievements and future research interests
3. A journal article or book chapter that demonstrates your domain expertise.

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 this link for more information.