Job Description
Examines data from multiple disparate sources with the goal of providing security and privacy insight. Designs and implements custom algorithms, workflow processes, and layouts for complex, enterprise-scale data sets used for modeling, data mining, and research purposes.Key Responsibilities:Analyze and define data requirements and specifications.Analyze and plan for anticipated changes in data capacity requirements.Develop data standards, policies, and procedures.Manage the compilation, cataloging, caching, distribution, and retrieval of data.Provide a managed flow of relevant information (via web-based portals or other means) based on mission requirements.Provide recommendations on new database technologies and architectures.Analyze data sources to provide actionable recommendations.Assess the validity of source data and subsequent findings.Collect metrics and trending data.Conduct hypothesis testing using statistical processes.Confer with systems analysts, engineers, programmers, and others to design applications.Develop and facilitate data-gathering methods.Develop strategic insights from large data sets.Present technical information to technical and nontechnical audiences.Present data in creative formats.Program custom algorithms.Provide actionable recommendations to critical stakeholders based on data analysis and findings.Utilize technical documentation or resources to implement a new mathematical, data science, or computer science method.Effectively allocate storage capacity in the design of data management systems.Read, interpret, write, modify, and execute simple scripts (e.g., Perl, VBScript) on Windows and UNIX systems.Utilize different programming languages to write code, open files, read files, and write output to different files.Utilize open source language such as R and apply quantitative techniques.Develop and implement data mining and data warehousing programs.Minimum Requirements:Knowledge of computer networking concepts and protocols, and network security methodologies.Knowledge of risk management processes.Knowledge of laws, regulations, policies, and ethics as they relate to cybersecurity and privacy.Knowledge of cybersecurity and privacy principles.Knowledge of cyber threats and vulnerabilities.Knowledge of specific operational impacts of cybersecurity lapses.Knowledge of computer algorithms.Knowledge of computer programming principles.Knowledge of data administration and data standardization policies.Knowledge of data mining and data warehousing principles.Knowledge of database management systems and query languages.Knowledge of digital rights management.Knowledge of enterprise messaging systems and associated software.Knowledge of low-level computer languages.Knowledge of mathematics.Knowledge of network access and identity management.Knowledge of operating systems.Knowledge of policy-based and risk adaptive access controls.Knowledge of programming language structures and logic.Knowledge of query languages such as SQL.Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information.Knowledge of command-line tools.Knowledge of interpreted and compiled computer languages.Knowledge of secure coding techniques.Knowledge of advanced data remediation security features in databases.Knowledge of database access application programming interfaces.Knowledge of applications that can log errors and exceptions.Knowledge of how to utilize Hadoop, Java, Python, SQL, Hive, and Pig to explore data.Knowledge of machine learning theory and principles.Knowledge of Information Theory.Knowledge of database theory. #J-18808-Ljbffr