Description

　　About Us:

　　Join our dynamic research team as we strive to revolutionize delivery speed at scale for our customers. We are on the lookout for an enthusiastic and highly analytical individual to be a part of our journey. The Promise team leverages advanced optimization models to determine order delivery dates, a pivotal aspect that influences customer behavior and shapes the short and long-term success of Amazon’s global retail operations.

　　What We Look For:

　　We are in search of individuals who are truly customer-centric, adaptable, and thrive in collaborative environments. Team players who relish the opportunity to work across diverse functions and organizations to address complex challenges and drive tangible results. We are looking for those who aren’t afraid to pose tough questions and craft solutions that deliver the crucial business insights necessary to shape decision-making for retail and operations teams.

　　Key job responsibilities

　　In this role, you will be responsible for developing and implementing innovative, scalable models and tools aimed at tackling novel challenges within Amazon’s global fulfillment network. Collaborating with fellow scientists from various teams, you will work on integrated solutions to enhance fulfillment speed, reduce costs, and minimize carbon emissions. Your in-depth comprehension of business challenges will enable you to provide scientific analyses that underpin critical business decisions, utilizing a diverse range of methodologies. You’ll have the opportunity to design scientific tool platforms, deploy models, create efficient data pipelines, and streamline existing processes.

　　Join us in shaping the future of Amazon’s global retail business by optimizing delivery speed at scale and making a lasting impact on the world of e-commerce. If you’re passionate about solving complex problems and driving innovation, we encourage you to apply.

　　About the team

　　https://www.linkedin.com/feed/update/urn:li:activity:7089317294417346561/

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

　　Bellevue, WA, USA

　　Basic Qualifications

　　We seek an experienced scientist with a solid foundation in Operations Research, Computer Science, Applied Mathematics, or related fields. In-depth familiarity with optimization, stochastic modeling, and algorithm design are prerequisites. Proficiency in Python is a must, and knowledge of AWS technologies is a plus.Preferred Qualifications

　　Knowledge of inventory management and transportation network optimization.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 $222,200/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.