AmazonLocal Deal Research
AmazonLocal Deal Research - Applied Statistician / Data Scientist
AmazonLocal Deal Research - Applied Statistician / Data Scientist AmazonLocal is a new daily deals marketplace offering customers up to 75 percent off of products and services at restaurants, spas, fun events and more. This business within Amazon offers a creative, fast-paced, entrepreneurial work environment where you?ll be at the center of Amazon innovation. We are looking for a skilled Applied Statistician/Data Scientist to a join a team of BI analysts and scientists who conduct research, perform advanced analytics, and structure deals for optimal performance in the rapidly evolving daily deal industry. The qualified candidate will apply analytical rigor and call upon various statistical techniques to: (1) Analyze large datasets to identify attributes that directly influence deal quality, (2) understand customer preferences to generate predictions across various categories, and (3) devise proposals that drive optimal deal concepts for merchants. If you are a practitioner with a solid theoretical foundation that is passionate about statistics, likes to innovate, and enjoys mining data to uncover patterns, identify significant variables, test hypotheses, and build predictive models, then you may be a great fit for our group. Work responsibilities Research, evaluate, implement, and present statistical methods to predict deal sales and catalog optimal deal structures. Work closely with scientists to design, code, and test proto-types, and function as the technical models expert. Monitor model performance and make recommendations for adjustments to increase accuracy. Evaluate and critique the assumptions of all models and refine approaches to account for business constraints. Perform high quality data analysis and design experiments to identify casual factors influencing under-performing deals. Generate ideas and new solutions that result in the creation of intellectual property. Determine significant variables and incorporate into models to recommend high performing deals for merchants. Run sampling, clustering, classification, etc on large datasets using a variety of analytics software (e.g. SAS, SPSS, and/or R). Recommend KPI for Analytics applications, including dashboards and tools for exploratory data visualization. Build and maintain robust and accurate predictions of customer preferences and deal sales. Create, enhance, and maintain documentation for data, modeling choices, rationale and results. Contribute to building the internal knowledge base on best practices in statistics and research methodology. Conduct periodic research to stay updated on the latest quantitative approaches and forecasting techniques. Identify areas for continuous improvement and research.