Senior Research Scientist, Sort Tech Science

Job summary
Sort Tech Science (STS) is looking for a motivated Research Scientist with strong modeling and analytical skills to join our team. STS is responsible for applying research science to under-the-roof (UTR) logistics of the sortation of packages to containers, and the movement of those containers to outbound trailers. These problems are constantly evolving with technology as these processes become more automated through robotics. You will work closely with the Sort Tech Product and Development teams to drive projects from idea to implementation. As a scientist on our team, you will play an integral role in developing analysis approaches, strategies, models, and algorithms that improve the efficiency and cost effectiveness of our global network of sortation facilities. Our scientists work with a mix of planning, scheduling, forecasting, and operational decision-making models. Machine learning will also be an integral part of data-driven decision making. As an applied scientist you will be expected to work with SDEs to develop the data pipeline and live deployment for both prototype and production optimization models. STS is a new team--the Sort Tech space presents a vast array of untouched problems with tremendous opportunity for improvement as Amazon scales and grows.

Key job responsibilities

• Prototyping, analyzing, and maintaining models which are crucial components of our sortation strategy.
• Working closely with software development teams as well as business partners to guarantee that models are both implemented correctly and understood by the wider business.
• Driving model improvements to assure these models become the de-facto standard across Amazon’s sortation network.
• Identifying and evaluating opportunities to reduce costs and maximize efficiency with new models and techniques.
• Gathering, analyzing, and presenting data to support various business initiatives. Proposing new metrics if the necessary data is not available.
• Helping guide the long term vision of our team, through effective communication with senior management as well with colleagues from computer science, operations research, and business backgrounds.

About the team
Sort Tech supports under-the-roof (UTR) operations for post-SLAM packages at Outbound Dock of Fulfillment Centers (FC OB Docks), Sort Centers (SCs), AIR Hubs & Gateways, as well as First Mile Operations, plus dock capabilities for Inbound Cross Docks (IXDs) and Delivery Stations (DS). As the newest vertical in Middle Mile Planning, Research, and Optimization Science (mmPROS), Sort Tech Science's vision is to bring modeling, optimization, analysis, and automation to Middle Mile package and transportation flow, to improve safety, reduce variable costs, and accelerate delivery speeds.

Basic Qualifications

• Ph.D. in Computer Science, Machine Learning, Operations Research, Industrial Engineering, Statistics or a related quantitative field
• Experience with defining research and development practices in an applied environment

Preferred Qualifications

• Machine learning modeling and algorithmic application 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.