introduction at ibm we have an amazing opportunity to transform the world with cognitive technology by using the vast amounts of information available today to identify new patterns and make new discoveries we are helping cities become smarter hospitals transform patient care financial institutions minimize risk and pharmaceuticals find cures for rare diseases data scientists work with enterprise leaders and key decision makers to solve business problems by preparing analyzing and understanding data to deliver insight predict emerging trends and provide recommendations to optimize results data scientists use a variety of data structured unstructured iot streaming analytics ai tools and programming languages often using a cloud infrastructure to handle the volume and veracity of data streams armed with data modeling expertise and analytic results the data scientist communicates conclusions and recommendations to stakeholders in an organizations leadership structure business acumen is an important skill for data scientists to effectively communicate their findings to business leaders data scientists need strong consulting communication visualization and storytelling skills your role and responsibilities data scientists are in demand across ibms growth areas if hired you will be matched to a team based on business demand location and fit join the forwardthinking teams at ibm solving some of the worlds most complex problems there is no better place to grow your career what youll do as an entrylevel data scientist you will implement and validate predictive models as well as create and maintain statistical models with a focus on big data you will be exposed to and incorporate a variety of statistical and machine learning techniques such as logistic regression experimental design generalized linear models mixed modeling chaiddecision trees neural networks and ensemble models youll communicate with internal and external clients to understand business needs and provide analytical solutions you will use leading edge tools such as cognos watson studio and watson machine learning youll work in an agile collaborative environment partnering with other scientists engineers and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors who you are you are great at solving problems debugging troubleshooting and designing implementing solutions to complex technical issues you thrive on teamwork and have excellent verbal and written communication skills you have strong technical and analytical abilities a knack for driving impact and growth and some experience with programmingscripting in a language such as java or python you have a basic understanding of statistical programming in a language such as r sas or python you have an interest in understanding of or experience with design thinking and agile development methodologies required professional and technical expertise basic understanding of statistical programming in a language such as r sas or python experience with programmingscripting in a language such as java or python knowledge of statistical concepts such as regression time series mixed model bayesian clustering etc to analyze data and provide insights preferred professional and technical expertise advanced knowledge of statistical concepts such as regression time series