- Seattle, WA
Do you want to make a difference in detecting and preventing large scale fraud and abuse on Amazon's Marketplace? Are you passionate about ensuring a fair and safe shopping experiment for Amazon customers and 3rd parties? If so, come join us!
This individual will own the data science elements of various Account Clustering Data Services products to help with data based decision making, product performance optimization, risk-based clustering, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Bridge the Degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.
Please visit https://www.amazon.science for more information
Master's or foreign equivalent in Operations Research, Engineering, Statistics, Mathematics, Economics, Computer Science, or a related technical field, and 5+ years of research or work experience as a Research Scientist, Data Scientist, Research Assistant, Software Engineer, or a related occupation. Five years of research or work experience must include each of the following: programming with a major programming language such as Python, Java, C, C# or C++; experience with SQL and Statistical Computing tools; clustering and time series modeling; experience developing and optimizing models; graph analytics; experience with the application of statistics and probability in analyzing test results; experience with design, application, and optimization of complex high dimensional models; and experience with problem solving and data analysis on large datasets.
Applicants must meet the above listed requirements for this position.
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
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