Senior Applied Scientist, AWS Marketplace Discovery
Amazon - Seattle, Washington, USA
Posted Mar 23, 2026
Benefits
- Parental leave
- Not verified not verified - source not recorded; timestamp not recorded
- Non-birth-parent leave
- Not verified not verified - source not recorded; timestamp not recorded
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $184K-$249K not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
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Market context
- Role benchmark (BLS OEWS)
- $111,944 typical for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
93% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Applied Scientist, AWS Marketplace Discovery Seattle, Washington, USA The AWS Marketplace team seeks a talented Applied Scientist to lead the development of our next generation of AI-Powered Discovery systems. The ideal candidate excels in translating complex scientific research into practical, high-impact solutions, demonstrating both technical excellence and a deep understanding of customer needs. They should bring proven depth in personalization, search, and recommendations, while remaining committed to mentoring others and fostering a culture of innovation and collaboration. The position offers a unique opportunity to influence how businesses worldwide discover and adopt software solutions. Key job responsibilities - Lead the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems - Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions - Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems - Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value - Mentor Scientists and influence scientific approach across the organization About the team The AWS Marketplace & Partner Services Science team is at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders: - AWS Customers: Through the AWS Marketplace, we support Discovery tools that streamline cloud adoption and innovation. - AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth. - Internal AWS Sellers: We equip our sales force with data-driven recommendations to
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