Senior Research Scientist, Intelligent Talent Acquisition Lead Generation & Detection Services
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Monthly Salary:
Posted on:
28-10-2025
Vacancies:
1 Vacancy
Job Summary
Do you want a role with deep meaning and the ability to make a major impact As part of Intelligent Talent Acquisition (ITA) youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists engineers analysts product professionals and more all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity at the right location and at exactly the right time. Youll work on state-of-the-art research advanced software tools new AI systems and machine learning algorithms leveraging Amazons in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds toughest hiring problems.
A day in the life
As a Research Scientist you will partner on design and development of AI-powered systems to scale job analyses enterprise-wide match potential candidates to the jobs theyll be most successful in and conduct validation research for top-of-funnel AI-based evaluation tools. Youll have the opportunity to develop and implement novel research strategies using the latest technology and to build solutions while experiencing Amazons customer-focused culture. The ideal scientist must have the ability to work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems.
About the team
The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI-driven solutions to enable fair and efficient talent acquisition processes across Amazon.
Our work encompasses capabilities across the entire talent acquisition lifecycle including role creation recruitment strategy sourcing candidate evaluation and talent deployment. The focus is on utilizing state-of-the-art solutions using Deep Learning Generative AI and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer-term workforce planning for corporate roles.
We maintain a portfolio of capabilities such as job-person matching person screening duplicate profile detection and automated applicant evaluation as well as a foundational competency capability used throughout Amazon to help standardize the assessment of talent interested in Amazon.
- PhD or a Masters degree and experience in quantitative field research
- Knowledge of R or Python
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in applied selection research job analysis test development and validation
- Experience converting research studies into tangible real-world changes
- Knowledge of AWS platforms such as S3 Glue Athena Sagemaker
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- PhD in Industrial/Organizational Psychology or related field
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
A day in the life
As a Research Scientist you will partner on design and development of AI-powered systems to scale job analyses enterprise-wide match potential candidates to the jobs theyll be most successful in and conduct validation research for top-of-funnel AI-based evaluation tools. Youll have the opportunity to develop and implement novel research strategies using the latest technology and to build solutions while experiencing Amazons customer-focused culture. The ideal scientist must have the ability to work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems.
About the team
The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI-driven solutions to enable fair and efficient talent acquisition processes across Amazon.
Our work encompasses capabilities across the entire talent acquisition lifecycle including role creation recruitment strategy sourcing candidate evaluation and talent deployment. The focus is on utilizing state-of-the-art solutions using Deep Learning Generative AI and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer-term workforce planning for corporate roles.
We maintain a portfolio of capabilities such as job-person matching person screening duplicate profile detection and automated applicant evaluation as well as a foundational competency capability used throughout Amazon to help standardize the assessment of talent interested in Amazon.
- PhD or a Masters degree and experience in quantitative field research
- Knowledge of R or Python
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in applied selection research job analysis test development and validation
- Experience converting research studies into tangible real-world changes
- Knowledge of AWS platforms such as S3 Glue Athena Sagemaker
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- PhD in Industrial/Organizational Psychology or related field
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Key Skills
- Sales Experience
- Door-to-Door Experience
- B2B Sales
- Time Management
- Marketing
- Cold Calling
- Salesforce
- Inside Sales
- Telemarketing
- Customer relationship management
- CRM Software
- Lead Generation
About Company
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