Description

　　Do you enjoy solving challenging problems and driving innovations in research? Are you seeking for an environment with a group of motivated and talented scientists like yourself? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? Do you want to play a key role in the future of Amazon transportation and operations? Come and join us at Amazon's Modeling and Optimization team (MOP).

　　Key job responsibilities

　　An Applied Scientist in the Modeling and Optimization (MOP) team

　　provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.

　　collaborates effectively with Amazon internal business customers, and is their trusted partner

　　is proactive and autonomous in discovering and resolving business pain-points within a given scope

　　is able to identify a suitable level of sophistication in resolving the different business needs

　　is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed

　　is aware of the limitations of their proposed solutions and is proactive in communicating them to the business, and advances the application of sciences towards Amazon business problems by bringing new methods, ideas, and practices to the team and scientific community.

　　A day in the life

　　Your will be developing model-based optimization, simulation, and/or predictive tools to identify and evaluate opportunities to improve customer experience, network speed, cost, and efficiency of capital investment.

　　You will quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives.

　　You will develop good communication skills and ability to speak at a level appropriate for the audience, will collaborate effectively with fellow scientists, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders from operations, finance, IT, and business leadership.

　　About the team

　　At the Modeling and Optimization (MOP) team, we use mathematical optimization, algorithm design, statistics, and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.

　　We focus on transportation topology, labor and resource planning for fulfillment facilities, routing science, visualization research, data science and development, and process optimization.

　　We create models to simulate, optimize, and control the fulfillment network with the objective of reducing cost while improving speed and reliability.

　　We support multiple business lanes, therefore maintain a comprehensive and objective view, coordinating solutions across organizational lines where possible.

　　We are open to hiring candidates to work out of one of the following locations:

　　Bellevue, WA, USA

　　Basic Qualifications

　　3+ years of building models for business application experience

　　PhD, or Master's 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

　　Preferred Qualifications

　　Experience using Unix/Linux

　　Experience in professional software development

　　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 https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.