education training and experience five years of experience in a relevant field such as data science information technology cognitive engineering etc experience using statistical computer languages such as r python sql etc to manipulate data and draw insights from large data sets knowledge of current data modelling tools knowledge of a variety of machinelearning techniques and algorithms such as clustering decision tree learning artificial neural networks etc experience with common data science toolkits experience working with and creating data models and data architecture experience using data visualization tools such as tableau arcgis and d3 proficiency in using query languages such as sql and mdx experience working with relational eg mysql sql server oracle snowflake redshift and nonrelational eg mongo nosql databases knowledge of applied statistical concepts and skills such as distributions statistical testing regression etc experience with scripting and programming in several languages excellent written and verbal communication skills ability to provide both detailed information and summaries to managementlevel individuals and groups experience developing customer relationships and delivering customerfocused service proven problemsolving and decisionmaking skills with the ability to uncover root causes and evaluate different solution options preferred qualifications the ideal candidate for the position of data scientist has the following qualifications bachelors degree in a relevant field such as applied mathematics data science computer science statistics etc more than eight years of experience in a relevant field such as data science information technology cognitive engineering etc strong interest in data science and ai experience in open domain eg github published in the areas of artificial intelligence or data science the work you will do the data scientist leverages mass data from across the university to develop intelligent business insights and effect innovative change for customers and stakeholders across the organization this role utilizes analytical statistical and programming skills to collect analyze and interpret large data sets the data scientist is charged with identifying the data analytics problems that offer the greatest opportunities for the university determining the correct data sets and variables and interpreting the data analysis to discover solutions and opportunities as a member of its the data scientist demonstrates its values in action job accountabilities the data scientist partners closely with stakeholders to identify highimpact applications of data to solve meaningful business problems identifies mines and analyzes medium and large datasets to unearth insights that drive new business value for the university communicates positively and effectively with customers assists in solving some of the organizations most challenging problems develops robust statistical and machine learning models and implements processes to evaluate automate and improve model performance builds iterates and validates predictive models using multiple statistical techniques supports process improvement efforts within the enterprise data and analytics team and across its leads efforts with various functions to test deploy and iterate on data science solutions builds executes and evaluates ab tests performs data manipulation wrangling cleansing and analysis utilizes best practices in data science to effectively solve problems analyzes data and collaborates with leadership and technical teams to identify