Data Scientist

Responsibilities

 

Data Scientist

 

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.”

 

 

POSITION RESPONSIBILITIES:

     

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:

 

  • Passion for growth and learning new techniques with vigor and enthusiasm. Strong individual contributor with top notch team collaboration skills.  Working with the team of six peers with over 70 years of data analysis, programming, data mining, software design and project management experience.
  • Data mine Petabytes of data in Teradata Warehouse.
  • Software implementation, troubleshooting and program design.
  • Design, extract, normalize, analyze, review and automate analysis for Internal Audit utilizing enterprise data warehouse, extracts and data mining tools; coordinate with business for outside data source requirements.
  • Design, develop, maintain and communicate visual dashboards.
  • Maintain databases and related programs in a thorough and efficient manner.
  • Review large software implementations to identify transaction flow gaps, design flaws and data integrity issues.
  • Design and develop ad-hoc analysis based on business requirement needs.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Strong ability to independently and proactively initiate projects, hypothesize business transaction flows and fraudulent scenarios.
  • Coordinate with business to ensure follow-up and resolution of exceptions including specific individual resolution as well as root-cause analysis and control gap identification.
  • Actively participates in the completion of department technology initiatives to support the development of a best-in-class Internal Audit function.
  • Take part in training courses to increase skill set and technical capabilities in order to better serve the needs of the analytics team.

 

Qualifications

  • BS/BA degree in Management Information Systems, Computer Science, Accounting, Business, Economics, Finance or related field required
  • Masters degree a plus
  • 4+ year’s experience within technology, auditing, accounting, finance, or economics
  • Strong business analytical skills a must; ability to apply business logic to design and implement data mining techniques on large data sets
  • Projects with evidence of Creative and Critical thinking a must
  • Demonstrated ability to work independently and within a team in a fast changing environment with changing priorities and changing time constraints
  • Technical savvy with history of initiatives and implemented solutions
  • Strong interpersonal skills and ability to multi-task
  • Ability to write clear, concise reports and presentations with an ability to orally communicate effectively; organizational and documentation skills a must
  • Ability to interpret business requests as well as communicate findings in a user-friendly manner
  • An understanding of risk management methodology and factors
  • Ability to consolidated issues for management level review; develop clear written recommendations, which require minimal editing; present recommendations and resolve issues with management
  • Experience in using and managing forensic technologies, including data analysis tools. Highly proficient in one of the following: ACL, IDEA, SQL, SaS
  • Understanding of Data Mining is a must
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis

Equal Employment Opportunity

  • Verizon is a Federal Contractor
  • Verizon requests veteran priority referrals
  • Verizon is an equal opportunity and affirmative action employer M/F/Disability/Vet.