Amazon · 2 weeks ago
Senior Applied Science Manager, Selling Partner Growth
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
$197K/yr - $340K/yr
10+ years expAmazon is evolving its Seller business through the Selling Partner Growth organization, which focuses on accelerating seller growth by providing actionable insights and tools. The Senior Applied Science Manager will lead AI initiatives, develop scientific models, and collaborate with cross-functional teams to enhance seller performance and drive business impact.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead and grow a team of applied scientists working on selection success
Drive the technical vision for implementing ML and LLM-based solutions to provide the agentic selection recommendation experience and drive seller growth
Drive scalable ML/DL/RL and LLM solutions that can handle the breath and complexity of guiding Amazon 3P sellers to success at scale
Collaborate with product, engineering, and business teams to define and execute the technical roadmap
Translate complex customer problems into practical ML solutions
Monitor and improve key performance metrics for seller performance, ease of use and satisfaction
Stay current with the latest developments in ML/DL/LLM research and identify opportunities for implementation
Qualification
Required
Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience
10+ years of experience in applied science and software development at large scale
Experience building complex software systems that have been successfully delivered to customers
Extensive experience building predictive and optimization models
Expert knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval
Proven track record of leading and mentoring applied scientists
Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
Proficiency in, at least, one modern programming language such as C, C++, Java, or Python
Ability to take a complex problem from scoping requirements through actual launch of the project
Excellent written and oral communication skills
Preferred
Experience in website optimization, recommender systems
Experience with distributed machine learning systems with billions of data points
10+ years of hands-on experience in predictive modeling and analysis
Significant peer reviewed scientific contributions in premier journals and conferences
Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
Proven track record leading, mentoring, and growing teams of scientists
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-11
Company data provided by crunchbase