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- Amazon sas interview questions update#
- Amazon sas interview questions software#
- Amazon sas interview questions code#
What’s the difference between Lasso and Ridge Regression?.Implement a circular queue using an array.
Amazon sas interview questions code#
Write Spark code that gives the date range with the most number of visitors.
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Another file has two columns with Date and number of visitors fields. One has a date range with two columns: Start date and End date.
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Note that elements of the two given arrays may be repeated but cannot be repeated in union and intersection arrays.
Amazon sas interview questions software#
Experience in Statistical Software such as R, Weka, SAS, SPSS.Experience in creating data-driven visualizations to describe an end-to-end system.Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations.Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products.Previous experience in a ML, data scientist or optimization engineer role with a large technology company.PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related field.Support engineering teams to build tools and applications on Amazon's unique big data platform to efficiently generate and deploy insights into decision-making systems at AWS. AWS Team - Simplify and drive automation of the forecasting process by building new tools and onboarding existing ones from Amazon Retail or AWS.Improve upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements. SCOT Team - Analyse large amounts of data from different parts of the supply chain and their associated business functions.Demand Forecasting Team - Improve upon existing Demand Forecasting statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting models.Research, design, and improve models with business impact in mind.Develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide forecasting insights.
Amazon sas interview questions update#
Design, develop, evaluate, deploy and update data-driven models and analytical solutions for machine learning (ML) and natural language (NL) applications.Here are the roles and responsibilities in a little more detail: Middle Mile Planning Research Optimization Science (mmPROS) team, and many more.The NASCO Team (North America Supply Chain Organization).Demand forecasting team in the Supply Chain Optimization Technologies (SCOT).Here are the different data science teams at Amazon: The role of a data scientist at Amazon is not fixed as such and depends on the specific team one is assigned to. Median salary :USD 300,000 with base component being USD 151,000, stock component being USD 128,000 and bonus being USD 21,000.Whether it is its dynamic e-commerce platform, intelligent virtual assistant Alexa or the reliable cloud computing service AWS, Amazon has an ever-growing presence in the digital sphere and is constantly in need of data scientists who can stretch the growth horizons of the company through ingenious data-driven decisions. Amazon is the world's largest e-commerce company and also a major technology firm.