what youll be doing our business analytics center of excellence coe within the finance organization is working to develop a scalable yet agile analytics organization that drives innovation enables selfservice and delivers value for our shareholders and business partners through common analytics platforms and tools that create next generation capabilities one of our objectives is to support the coes digital transformation advanced analytics initiatives by empowering the business through the use of data science advanced analytics enhance decision making and allow for insight driven collaboration our core coe team is looking for a talented and hands on senior data scientist to join the analytics execution team and contribute to the teams success you will be working on multiple advanced analytics projects on behalf of multiple customers of the coe and drive change among these teams by deploying the solutions and insights you will be highly motivated driventosucceed collaborative team player a dedicated hardworker and an independent criticalanalytical thinker you will have a strong desire to make data and analytics a foundation for decision making with a passion for bringing effectiveness and relevance to data assets and analytics solutions to be leveraged as a competitive advantage by the business given the need to work with several cross functional it and crossbusiness teams high emotional intelligence would help drive the successful building of these capabilities this is a high visibility role working with several senior leaders and success in this role will provide opportunities across the verizon enterprise this role will play a key role in all the systems data and analytics aspects within this finance group you will help to envision communicate and facilitate deployment and execution of data and analytics work produced by the coe you will collaborate with multiple business and finance teams across verizon perform the role of data scientist for the coe selecting features building and optimizing classifiers using machine learning techniques data mining using stateoftheart methods extract business insights from large amount of data using data science principles extending companys data with third party sources of information when needed enhancing data collection procedures to include information that is relevant for building analytic systems processing cleansing and verifying the integrity of data used for analysis doing adhoc analysis and presenting results in a clear manner be a senior independent team member who can drive thinking and discussions among senior leaders and multiple stakeholders across the business and finance develop strong relationships with business partners and build leadership support to transform the role of data and analytics in decision making build strong crossfunctional relationships and get recognized as a data and analytics subject matter expert among other teams in finance continually broaden and strengthen knowledge of analytical methods vendors and tools help foster a continuous test and learn culture and process ie rapid cycle learning participate in the design implementation and interpretation of advanced analytics concepts and projects related to big data ai mldl and rpa prepare presentations and documentations of complex statistical concepts and research results