Amazon Sr Principal Applied Scientist Last Mile 

United States, Washington, Bellevue 

777825745

The Senior Principal Applied Scientist for LM is responsible for providing scientific strategy and vision to guide the direction of the research, influence the business leadership using data-driven analysis, deliver key initiatives across the science organization, and provide leadership to the other scientists. This role tackles the most challenging scientific problems to address complex business needs in the last mile delivery space. These problems are complex due to their scale and real-time nature, which often require combining approaches (i.e., optimization, machine learning, foundational models, heuristics) and techniques from multiple scientific disciplines. Additionally, modeling real-world problems can be difficult, and interpreting the results in a way that influences key stakeholders' decision-making processes adds another layer of complexity.The Senior Principal Applied Scientist plays a crucial role in influencing directors and VPs and providing clarity to complex and contentious debates in areas that require one-way decisions. Their goal is to evangelize changes in mental models and drive multi-year research and development investments. The individual in this role generates cutting-edge ideas that form a strong pipeline of innovation, which can take between 1-3 years to identify, productize, and scale. When these ideas are successfully scaled, they create a large uplift for the business. The Senior Principal Applied Scientist additionally looks for and drives ideas and strategic opportunities across other Transportation orgs. The Senior Principal Applied Scientist is expected to publish regularly in internal and external conferences and apply for patents to establish influence within the scientific community.

Basic Qualifications
• Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Physics, Statistics, Applied Math or Operations Research
• 15 or more years applying deep learning, machine learning or statistical models to solving real-world problems in the industry
• Proficiency in C/C++, Java or Python
• Outstanding written and verbal communication skills
• Experience with guiding R&D strategy at an organization
• 10+ Publications in top peer-reviewed statistics, ML, OR, or applied math journals

• Proven record of innovation and strategic impact across teams
• Excellent interpersonal skills, and a can-do never give-up attitude
• Ability to work independently and as a part of a diverse team
• 15+ years of experience in transportation/Logistics decision support systems
• 5+ years in large language and foundational models