Applied Scientist II, Books Data Quality
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Passionate about books The Amazon Books team is looking for a talented Applied Scientist II to help invent design and deliver science solutions to make it easier for millions of customers to find the next book they will this role you will
-Be a part of a growing team of scientists economists engineers analysts and business partners.
-Use Amazons large-scale computing and data resources to generate deep understandings of our customers and products.
-Build highly accurate models (and/or agentic systems) to detect and correct errors in Books metadata.
-Design implement and deliver novel solutions to some of Amazons oldest problems.
Key job responsibilities
The role is focused on ensuring our book (meta)data is as accurate as possible. As part of that you will be responsible for designing developing and evaluating state-of-the-art systems that detect and correct errors by contrasting book information from different sources. As part of this goal you will identify and solve complex science problems in this space by using and inventing tools across several disciplines including agentic systems deep learning natural language processing (NLP) knowledge graphs/taxonomies recommender systems and reinforcement learning (RL). As part of the team you will be exposed to all of these areas and have opportunities to hone and apply your skills across our problem space.
A day in the life
Day-to-day work varies over the course of a project but includes model design development training tuning testing and deployment as well as identifying science solutions to business problems acquiring and understanding data sources and designing and analyzing experiments testing your solutions.
About the team
The team consists of a collaborative group of scientists product leaders and dedicated engineering teams. Our aim is to maintain the worlds most accurate and descriptive set of books metadata where every title in our catalog is uniquely characterized via a set of high-quality concise attributes. We believe this is a foundational capacity for any bookstore. We work with sister teams to leverage our systems to drive a diverse array of customer experiences owned both by ourselves and others that enable customers to easily identify their ideal next read.
- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
-Be a part of a growing team of scientists economists engineers analysts and business partners.
-Use Amazons large-scale computing and data resources to generate deep understandings of our customers and products.
-Build highly accurate models (and/or agentic systems) to detect and correct errors in Books metadata.
-Design implement and deliver novel solutions to some of Amazons oldest problems.
Key job responsibilities
The role is focused on ensuring our book (meta)data is as accurate as possible. As part of that you will be responsible for designing developing and evaluating state-of-the-art systems that detect and correct errors by contrasting book information from different sources. As part of this goal you will identify and solve complex science problems in this space by using and inventing tools across several disciplines including agentic systems deep learning natural language processing (NLP) knowledge graphs/taxonomies recommender systems and reinforcement learning (RL). As part of the team you will be exposed to all of these areas and have opportunities to hone and apply your skills across our problem space.
A day in the life
Day-to-day work varies over the course of a project but includes model design development training tuning testing and deployment as well as identifying science solutions to business problems acquiring and understanding data sources and designing and analyzing experiments testing your solutions.
About the team
The team consists of a collaborative group of scientists product leaders and dedicated engineering teams. Our aim is to maintain the worlds most accurate and descriptive set of books metadata where every title in our catalog is uniquely characterized via a set of high-quality concise attributes. We believe this is a foundational capacity for any bookstore. We work with sister teams to leverage our systems to drive a diverse array of customer experiences owned both by ourselves and others that enable customers to easily identify their ideal next read.
- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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