Applied Scientist II, Amazon Consumables and Everyday Essentials Science Team
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
Our team is looking for a motivated applied scientist to help grow the Consumables and Everyday Essentials (EE) business. In this role, you will work within a team of scientists to build improved EE customer experiences by leveraging data-science and machine-learning technologies. You will have an opportunity to revolutionize the customer shopping experience across the world's most extensive catalog of EE products. You will be directly responsible for leveraging machine-learning and data-science techniques to drive innovation. You will collaborate with scientists, economists, product managers, software engineers, and the broader Amazon tech community to build solutions that enhance the EE shopping experience across all surfaces, including desktop, mobile devices, and other Amazon devices.
Key job responsibilities
We are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in Generative AI, as well as traditional machine learning techniques to solve customer problems in the Consumables space. You will be directly responsible for leading the ideation, design, prototyping, development, and launch of innovative scientific solutions that address customer problems. You will closely partner with other scientists, economists, product managers, engineers, and the broader Amazon scientific community to pioneer state-of-the-art solutions to extremely challenging problems in the EE space.
About the team
The Consumables and EE science team is a group of scientists, economists, engineers, and product managers who drive technological innovation to improve EE customer experience. We have a startup-like work culture where innovation is encouraged; we are never afraid to propose grand ideas for fear of failing!
BASIC QUALIFICATIONS
- PhD, or Master's degree and 2+ years of applied research experience
- Experience programming in Python and SQL
- Experience with deep learning, machine learning with tree ensembles, XGBoost, LLMs, and relevant methods
PREFERRED QUALIFICATIONS
- PhD in engineering, computer science, machine learning, robotics, statistics, mathematics or equivalent quantitative field
- Hands-on experience in building customer solutions
- Experience with modeling tools such as PyTorch, Tensorflow, numpy, scipy etc.
- Top tier AI publications is a strong plus
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.
Key job responsibilities
We are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in Generative AI, as well as traditional machine learning techniques to solve customer problems in the Consumables space. You will be directly responsible for leading the ideation, design, prototyping, development, and launch of innovative scientific solutions that address customer problems. You will closely partner with other scientists, economists, product managers, engineers, and the broader Amazon scientific community to pioneer state-of-the-art solutions to extremely challenging problems in the EE space.
About the team
The Consumables and EE science team is a group of scientists, economists, engineers, and product managers who drive technological innovation to improve EE customer experience. We have a startup-like work culture where innovation is encouraged; we are never afraid to propose grand ideas for fear of failing!
BASIC QUALIFICATIONS
- PhD, or Master's degree and 2+ years of applied research experience
- Experience programming in Python and SQL
- Experience with deep learning, machine learning with tree ensembles, XGBoost, LLMs, and relevant methods
PREFERRED QUALIFICATIONS
- PhD in engineering, computer science, machine learning, robotics, statistics, mathematics or equivalent quantitative field
- Hands-on experience in building customer solutions
- Experience with modeling tools such as PyTorch, Tensorflow, numpy, scipy etc.
- Top tier AI publications is a strong plus
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.