Senior Applied Scientist - Amazon Air Science and Technology Air Science Tech
Senior Applied Scientist - Amazon Air Science and Technology Air Science Tech
Posted on :
23-04-2025
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1 Vacancy
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Job 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 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 endtoend 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 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 lifecycle projects.
Design and prototype decision support tools (product) to automate standardized processes and optimize tradeoffs across the full decision space.
Lead complex modeling analyses to aid management in making key business decisions and set new policies.
3 years of building machine learning models for business application experience
PhD or Masters 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
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
You will work closely with product research science and technical leaders throughout Amazon Air Amazon Delivery Technology and 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 endtoend 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 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 lifecycle projects.
Design and prototype decision support tools (product) to automate standardized processes and optimize tradeoffs across the full decision space.
Lead complex modeling analyses to aid management in making key business decisions and set new policies.
3 years of building machine learning models for business application experience
PhD or Masters 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
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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