analysis tools sas business objects sql server reporting services spss minitab r microstrategy or tableau experience with at least one statisticalanalytical programming tool sas r python stata matlab etc coursework or practical experience with machine learning data mining and constructing analytical models and algorithms demonstrated ability to work with minimal direction with the ability to coordinate complex activities strong understanding of and experience with mixed methodologies below experience with advanced analytics eg statistics simulation optimization and methods such as time series analysis longitudinal studies and life event modeling detailed knowledge of and practical experience applying data mining methodologies natural language processing and machine learning algorithms eg regression clustering neural networks kernel methods dimensionality reduction ensemble methods decision tree methods experience with tools for data mining statistics analysis and scripting eg r sas scala matlab python ruby experience with cleaning aggregating and preprocessing data from varied sources experience creating complex sql queries for standard as well as ad hoc data mining purposes demonstrated ability to analyze and interpret qualitative data research feedback and incorporate such insights into quantitative analyses familiarity with retail ecommerce or financial analytics including approaches such as life event modeling customer lifetime value experience in hadoop spark storm or related paradigms and associated languages such as pig hive mahout demonstrated experience programming eg javac scala r python julia familiarity with agilescrum methodologies experience with a range of business intelligence and analysis tools such as sas business objects sql server reporting services spss minitab r microstrategy or tableau demonstrated experience operating in a unixlinux environment or hadoop environment demonstrated understanding of research and ability to develop methodologies in data mining and other innovative statisticalmathematical approaches demonstrated high level technical and analytical skills with the ability to analyze complex situations learn quickly and synthesize corresponding solutions options and action plans demonstrated understanding of the principles of rigorous experiment design and analysis data scientist senior would have a masters or phd degree in a strongly quantitative field such as statistics applied mathematics physics operations research computer science or econometrics and 8 years of database analytics experience or equivalent combination of education and experience phd degree preferred