Senior Applied Scientist - Amazon Air Science and Technology, Air Science & Tech
Amazon
DESCRIPTION
The Amazon Air Science and Technology team is seeking an Applied Scientist to be part of a team solving complex airline operations problems to reduce cost and improve performance.
You will work closely with product, research science and technical leaders throughout Amazon Air, Amazon Delivery Technology and Supply Chain Optimization and will be responsible for influencing funding decisions in areas of investment that you identify as critical future product offerings. You will partner with software developers and data scientists to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, build the machine learning or optimization models that will enable us to continually delight our customers worldwide.
The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.
Tasks/ Responsibilities:
- Partnership with the engineering and operations to drive modeling and design for complex business problems.
- Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.
- Contribute to the mid- and long-term strategic planning studies and analysis.
- Lead complex transportation modeling analyses to aid management in making key business decisions and set new policies.