Data Scientist, Seller Satisfaction & Insights

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company

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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/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.
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - 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.