Data Science Lead Analyst (VP) Tampa, Florida, United States 02/14/2020 bei Citi


Tampa, Florida
The primary role of the Lead Data Scientist is to perform strategic level data research and analysis in support of cyber security. The position entails strategic innovation as well as a focus on efforts to re-engineer inefficient and/or ineffective data driven processes resulting in lower costs. Key to this function is the ability to provide Subject Matter Expertise (SME) in data intelligence. The Lead Data Analyst will also be expected to provide leadership within the team and to manage relationships with senior management.
This Lead Data Scientist will be a member of the Technology, Data and Analytics Group/Data Intelligence and Analysis Team and will support strategic data analytics initiatives/innovation. The Lead Data Analyst will use data to identify otherwise unknown potential threats to Citi. Key to this position is a demonstrated depth of understanding of advanced analytical and statistical methods, data manipulation, ability to research and develop methods from academia/other industries. Fundamentally, the Lead Data Scientist will develop creative, innovative, data-driven solutions to reduce costs and protect Citi from potential threats.

Role/Responsibilities:

  • Serve as a Lead Data Scientist leading and supporting strategic-related initiatives
  • Perform data research and analytical tasks in support of Cyber security risks
  • Use appropriate tools and techniques to analyze a variety of data sources
  • Be a key player in the development of innovative methods for detection of joint threats
  • Develop partnerships to provide opportunities for more efficient solutions to various data, system, and applications issues resulting in lower costs
  • Perform ad hoc requests as needed.

Qualifications:

  • Bachelor’s Degree or equivalent work experience
  • 6+ years of relative work experience
  • Lead Data Scientist should have the right balance of problem solving abilities, technical hands-on data analysis skills, financial business knowledge, and intellectual curiosity that are essential for knowledge discovery tasks.
  • Demonstrated solution development ability in a data and analytics setting. Candidate must be able to research, conceive and offer/implement solutions that are unique and different from existing methods
  • The ability to adapt to the ever changing threat landscape, including threats to Citi’s information infrastructure (including environments such as Hadoop), Citi businesses, data management languages, schema, analytics tools, etc.
  • Powerful data analytical skills
  • Knowledge of advanced methods such as Network Analysis, various modeling techniques, cluster/factor analysis techniques, forensic techniques
  • Ad hoc prototyping skills using multiple techniques to solve a myriad of business scenarios
  • Proficiency with data management languages (e.g., SAS, R, Python, etc.)
  • Extensive knowledge of relational databases such as Oracle, SQLServer, and Data Marts, Data Warehouses, and Big Data architecture. Expert level proficiency with analytical tools required in these environments.
  • Extensive working knowledge of internal Citi systems is preferable
  • Excellent verbal and written communication skills
  • Ability to adjust to changing focus and/or priorities as well as the ability to successfully multi-task as needed and set priorities as needed
  • Mature, self-starting, self-motivating, and capable of making decisions independently

  • ------------------------------------------------ Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - US
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