## Qualifications
- 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
## Benefits
- Benefit from working in Chicago, a key hub for the Transportation, Delivery, Logistics industry
- Compensation: $162k-$280.8k/Year (approx
- $18.4k/Month)
- Benefits: Eligible team members receive standard benefits
- Impactful work with supportive local leadership
- The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market
- Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
## Responsibilities
- This role centers on Experience with modeling tools such as R within the Transportation, Delivery, Logistics space in Chicago
- You will set scientific direction, define development strategy, and lead by example—building intelligent agents that accelerate our ability to analyze complex data and make customer-centric decisions at scale
- This is a high-impact, highly visible role
- You'll collaborate closely with product, engineering, science, and business leaders across planning, forecasting, operations, and last-mile delivery
- Delivery speed is one of Amazon’s core customer value propositions and a key differentiator—your work will directly shape how we measure and improve that experience
- 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
## Full Description
Local Job Overview: Chicago
At a Glance
- Position: Senior Applied Scientist, Agentic AI For Data Analytics And Science, Speed Analytics And Science (Based in Chicago)
- This Chicago-based role is an excellent opportunity for professionals skilled in Experience with modeling tools such as R.
- Our Amazon team in Chicago, IL is growing.
- Benefit from working in Chicago, a key hub for the Transportation, Delivery, Logistics industry.
What You Get
- Compensation: $162k-$280.8k/Year (approx. $18.4k/Month)
- Benefits: Eligible team members receive standard benefits.
- Impactful work with supportive local leadership.
What You'll Do
- This role centers on Experience with modeling tools such as R within the Transportation, Delivery, Logistics space in Chicago.
Description
Are you excited by the opportunity to define how Amazon builds and scales intelligent AI systems that influence strategic decisions across a massive transportation network? Do you want to lead the development of agentic AI solutions and mentor the next generation of scientists while shaping how we use generative AI at scale?
Amazon’s North American Transportation Data Science & Analy
...
tics team is looking for a Senior Applied Scientist to lead the design and implementation of agentic AI systems that simulate, reason, and deliver insights across Amazon’s dynamic supply chain and delivery operations. You will set scientific direction, define development strategy, and lead by example—building intelligent agents that accelerate our ability to analyze complex data and make customer-centric decisions at scale.
This is a high-impact, highly visible role. You'll collaborate closely with product, engineering, science, and business leaders across planning, forecasting, operations, and last-mile delivery. Delivery speed is one of Amazon’s core customer value propositions and a key differentiator—your work will directly shape how we measure and improve that experience.
Key job responsibilities
- Define the AI and agentic devel