Amazon · 4 months ago
Senior Applied Scientist, Agentic AI for Data Analytics and Science, Speed Analytics and Science
Tempe, Arizona, USA
Full-time
Onsite
Mid, Senior Level
$150K/yr - $260K/yr
3+ years expAmazon is seeking a Senior Applied Scientist to lead the design and implementation of agentic AI systems within their North American Transportation Data Science & Analytics team. This role involves setting scientific direction, mentoring junior scientists, and collaborating with cross-functional teams to enhance data-driven decision-making and operational excellence through intelligent AI solutions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Define the AI and agentic development strategy for transportation analytics, including use case prioritization, architecture principles, and integration frameworks
Lead the design and development of autonomous AI agents that deliver insights, simulate system behavior, and support experimentation across analytics workflows
Build systems that allow agents to interact with APIs, knowledge bases, structured and unstructured data sources
Mentor and develop junior scientists and engineers, providing scientific guidance, code reviews, and career development support
Collaborate with Data Scientists, BIEs, and Engineering teams to integrate agentic systems into production workflows and internal tools
Define and own agent evaluation frameworks—measuring business impact, correctness, and efficiency at scale
Drive adoption of shared infrastructure like reusable APIs, prompt libraries, and model registries
Partner with AWS teams and internal technical stakeholders to leverage emerging AI/ML technologies, and serve as an evangelist for scalable, interoperable solutions
Influence cross-org discussions on AI strategy, experimentation tooling, and reusable architecture to support Amazon-wide analytics goals
Qualification
Required
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc
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)
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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
The Motley Fool
2026-01-09
2026-01-08
Company data provided by crunchbase