Job summaryPrivate Brands is fast-growing within Amazon, and is a highly visible, emerging business. We have a unique business and obsess over quality and building global brands our customers love. We aspire to be part of our customers’ everyday lives by offering them unique products at compelling prices backed by Amazon’s strong customer obsessed reputation.Private Brands Intelligence (PBI) is looking for a Data Scientist to join our team in building Machine Learning solutions at scale. PBI applies Machine Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop statistical models and algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Scientists, and Engineers incubating and building Day One solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.You will work with business leaders, scientists, economists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML and econometric models while building tools to help our customers gain and apply insights.This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As a Data Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.