Research Scientist, Seller Satisfaction

4 weeks ago


Seattle, United States Amazon Full time

Research Scientist, Seller Satisfaction & Insights Job ID: 2724802 | Amazon.com Services LLC - A57 Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services’s (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide. Key Job Responsibilities We are looking for an individual with a strong research background and a passion for solving unique problems to help us drive world-class research. Our ideal candidate is someone who is customer-obsessed and detail-oriented, and loves solving complex problems. You enjoy building things from scratch, are comfortable with change and ambiguity, and relish the chance to solve hard problems in short order. You recognize that the true measure of success of your work is based on the business impact your findings have over time. A day in the life: Design and execution of primary research studies (leveraging mainly quantitative methods) to generate actionable insights and recommendations for stakeholder teams. Design and implement surveys, analyze data, and synthesize key insights. Execute quantitative research methods (e.g. factor analysis, shapleys, regression analysis, clustering, structural equation models, data imputations and weighting). Apply sound research and business acumen to help the business not just solve complex questions but help it look around corners. Design scalable and nimble mechanisms that help scale qualitative research solutions, tools, and processes. Build and manage relationships with internal stakeholders and external agency partners. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience. PhD, or Master's degree and 6+ years of applied research experience. Experience programming in Java, C++, Python or related language. Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/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. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr



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