Description

　　Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.

　　WW R&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving unparalleled operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & Recommerce.

　　Amazon WW R&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop world-class product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.

　　In this role, you would

　　Use machine learning and analytical techniques to create scalable solutions for business problems.

　　Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes.

　　Design, development, and evaluation of highly innovative models for predictive learning.

　　Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.

　　Research and implement novel machine learning and statistical approaches.

　　Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

　　We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.

　　Amazon is earth’s most customer-centric company and through WW R&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!

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

　　Seattle, 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 $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.