job overview responsible for applied use of machine learning data mining and predictive modeling techniques to optimize call center customer experiences and other business outcomes develop effective and efficient predictive models for global operations and forecasting of the call centers must be able to work independently with stakeholders to identify opportunities for the application of business data and coordinate independently with different functional teams to develop fit and monitor model performance and accuracy over time candidate should be able to independently develop custom data models and algorithms as necessary to apply to datasets of varying size and structure responsible for connecting to and designing queries from data sources including but not limited to ms azure paas technologies ibm big sql hortonworks hadoop apache hive hdfs ibm db2 ms sql server oracle sql server teradata sql server linux and windows environments as needed working with technology partners for data discovery and analyses of new data sources requesting new data and prototyping new data views in preproduction environments interviewing hiring training directing managing coaching developing coordinating evaluating and disciplining direct and indirect reports performing other duties as assigned essential functions knowledge and experience in statistical and machine learning techniques not limited to glmregression gradient boosting random forest decision trees boosting and ensembling connect to data in rdbms and hadoop environments using sqlhql and complex functions develop and tune machine learning models in r python spark work with stakeholders partners and other development teams to createexpress appropriate features from the raw data to hit model target objectives and accuracy assess the accuracy and effectiveness of new data sources and data gathering techniques be able to effectively visualize and present data to stakeholders and leadership design queries with sqlhql to extract data from data stores and bring into analytics products such as aqua data studio alteryx designer tableau r spark for additional analysis work with data in virtual environments and be prepared to transform it to fit the analytics purpose olap data pivoting etc perform initial discovery and analysis of newly identified data sources to determine how to integrate them with other data lake components design and engineer systems that can move large quantities of data and produce results within required nearrealtime timeframes be flexible in a dynamic environment that pushes the boundaries of data capabilities at macys interview hire train direct manage coach develop coordinate evaluate and discipline direct and indirect reports provide developmental opportunities plan assign direct and manage work establish strategy for work provide insight and decision support direct and manage team to meet or exceed performance and behavioral expectations address complaints and resolve problems from employees regular dependable attendance and punctuality qualifications educationexperience bachelors degree from fouryear college or university required masters degree preferred one to two years related experience andor training preferred or equivalent combination of education and experience communication skills ability to read analyze and interpret general business periodicals professional journals technical procedures and governmental regulations write reports business correspondence and procedure manuals effectively present information and