Senior Applied Scientist, Air Science & Tech

Amazon • Bellevue, WA

1d • $167,100 - $226,100 • Onsite

About The Position

The Amazon Middle Mile Science 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 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 or 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.

Requirements

• 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

Nice To Haves

• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience in building machine learning models for business application
• PhD in math/statistics/engineering or other equivalent quantitative discipline
• Experience in transportation and supply chain

Responsibilities

• Partnership with the engineering and operations to drive modeling and design for complex business problems.
• 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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior