- Basking Ridge, NJ - United States
- Finance and Accounting - Full-Time
- Job # 359229
Verizon Communications Inc. is a global leader in delivering broadband and other wireless and wireline communications services to mass market, business, government and wholesale customers. A Dow 20 company, Verizon employs a diverse workforce of more than 170,000 and last year generated consolidated revenues in excess of $100 billion. The IT Auditor – Data Scientist will be part of an objective assurance and consulting team that is independently managed within Verizon Communications designed to add value and improve operations. The Internal Audit team assists the Audit Committee of the Board of Directors and Verizon management in accomplishing their objectives by bringing a systematic and disciplined approach to evaluate and improve the effectiveness of the overall control environment, risk management, and governance processes. The Internal Audit staff gains extensive exposure to diverse aspects of Verizon's business. These audit assignments include increasing levels of responsibilities and presentations to senior management, making Internal Audit an excellent place to work for high potential employees.
Have you read Malcolm Gladwell’s books? Or the string of other authors solving business challenges through Data mining? Are you interested in a path to becoming a data scientist? Do you have what it takes to develop great business acumen? Leverage your critical thinking and problem solving skills while leveraging technical tools to analyze large complex data sets through data mining? If so then these responsibilities could be yours.
As Wikipedia states ”Data Scientist have the ability to find and interpret rich data sources, manage large amounts of data despite hardware, software and bandwidth constraints, merge data sources together, ensure consistency of data-sets, create visualizations to aid in understanding data and building rich tools that enable others to work effectively.”
The Data Scientist supports a high performance forensic and audit analytics team in its efforts to identify and drive data mining efforts through a risk based approach. The enthusiasm in this position helps mitigate fraud, identify misconduct and control gaps utilizing data mining and analysis. Responsibilities include the following:
Equal Employment Opportunity