Senior Applied Scientist - Amazon Air Science and Technology, Air Science and Technology

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Job description

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Job summary
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 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 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.
• Act as the technical leader and drive full life-cycle projects.
• Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.
• Lead complex modeling analyses to aid management in making key business decisions and set new policies.

BASIC QUALIFICATIONS

• Ph.D. in Operations Research, Transportation Management, Operations Management, Industrial Engineering, Computer Science, Applied Mathematics, Statistics or a related field.
• Experience in implementing models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab, Julia)
• Experience designing/implementing algorithms tailored to particular business needs and tested on large datasets.
• Experience designing and simulation solution for large scale applications.
• Experience in writing scripts to manipulate data and developing software applications in programming languages such as C++, Java, and Python.
• Excellent communication skills with both technical and non-technical audiences.
• Strong problem-solving ability and the ability to work in ambiguous and constantly evolving environment.
• Ability to work independently and as part of a diverse team.
• 5+ years of post-PhD hands-on experience (academic or industrial) building ML models

PREFERRED QUALIFICATIONS

• Experience in data mining and using databases in a business environment with large-scale, complex datasets.
• Strong personal interest in learning, researching, and creating new technologies with high customer impact.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

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