Applied Scientist, Middle Mile Transportation (NEST) - Amazon

Description Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for state-of-the-art robotics, transportation and fulfillment systems? If so, then this is the job for you. The Amazon Transportation Services team is responsible for developing an in-depth understanding of our current network and designing our future networks. We are looking for a motivated and experienced Applied Scientist with outstanding leadership skills, proven ability to develop, automate, and manage analytical models of our systems. The successful candidate will have strong modeling skills and is comfortable owning models in production working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements. A qualified candidate is a problem-solver and should have demonstrated ability to build methodology and tools that are statistically grounded. The ideal candidate will have curiosity towards developing self-service and/or fully automated optimization and machine learning applications. Key job responsibilities - Design and develop complex statistical, machine learning and optimization models and apply them to drive the appropriate business and technical solutions for Amazon's Middle Mile Transportation business - Use analytical and ML techniques to predict operations behavior at Amazon's warehouse sites and transportation network, predict labor requirements and inputs required for labor management at Amazon's warehouse yards - Prototype these models in software languages such as Python, and translate prototype models to production quality, large scale software systems - Contribute to the build of decision-making models e.g. recommender systems, classification algorithms, agent-based simulations. - Create, enhance, and maintain technical documentation, and present to other Scientists. - Retrieve, synthesize, and present critical data in a format that is immediately useful to model building or improving model performance. - Interact with software and business groups to develop an understanding of their business requirements and operational processes. About the team The Network Engineering, Scheduling, and Technology (NEST) Science Team prototype, build, and productionize mathematical models that reduce transportation cost and improve customer experience in Amazon's Middle Mile network. Equipped with techniques from Operations Research, Machine Learning and Simulation, these models are used to govern scheduling and equipment selection of hundreds of thousands of truck movements, optimize network configurations, determine the transit times between nodes, and simulate network flow under uncertainty for informed decision making. Our core team consists of Applied, Data, and Research Scientists along with technical Product Managers that come from diverse backgrounds. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA Basic Qualifications - Advanced degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience building machine learning models or developing algorithms for business application - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals 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 $115,100/year in our lowest geographic market up to $212,800/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.