Applied Scientist, Global Mile

Amazon

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profile Job Location:

Bellevue, WA - USA

profile Yearly Salary: $ 136000 - 223400
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

Come and be a part of Amazons amazing growth story and innovation!

Amazon Global Mile Tech is chartered to build a comprehensive portfolio of products that provides Shippers end-to-end transportation node processing and foundational capabilities to ship packages internationally across a global network of connected arcs and nodes in a variety of scenarios (imports exports and trans shipments). There are millions of such packages each with different attributes delivery requirements and international commerce and customs constraints. What results is a complex graph of source intermediate and destination nodes with their arcs crossing international borders and associated with different costs and transit times. Accounting for all these constraints and maximizing the number of shipments shipped while minimizing cost providing a variety of customer delivery options and maximizing delivery performance is our primary focus.

We are building world class technology cutting across deep algorithmic problems brand new tools that cater to multi-party business scenarios and challenging data models that are evolving very quickly. Our systems touch every single package that travels internationally which mandates building of highly available and scalable distributed systems. Besides technology there are ample opportunities in the team to build domain expertise of international transportation and supply chain realms and get first-hand experience of the Amazon operations by interacting directly with our global internal and external partners and of course the esteemed senior engineering talent pool.

We are looking for a highly talented applied scientist to be part of our science team in Bellevue this role you will partner with business and technical teams to design and document requirements and develop technical strategies and software roadmaps for delivery of features. You will be part of passionate group of scientists in optimizing large scale distributed technology solutions and also innovating new ideas and providing technology directions to our business in the domain of imports and exports logistics. We have many key initiatives lined-up to support our rapid evolution and growth of international transportation network by solving some of the most challenging problems in this domain.
job responsibilities
Develop accurate and scalable optimization mathematical programming and heuristic methods to solve our hardest transportation problems.
Lead and partner with the engineering and operations teams to drive modeling and technical design for complex business problems in transportation.
Lead complex modeling analyses to aid management in making key business decisions and set new policies.
Lead exploration of reinforcement learning techniques to augment optimization algorithms.

A day in the life
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

Benefits:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

Learn more about our benefits here:

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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:

Exec

Come and be a part of Amazons amazing growth story and innovation!Amazon Global Mile Tech is chartered to build a comprehensive portfolio of products that provides Shippers end-to-end transportation node processing and foundational capabilities to ship packages internationally across a global networ...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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