Senior Data Science & Tagging Analyst

Description Join SAIC and the Intelligence Community by providing support to the National Counterintelligence & Security Center's mission, by assisting the Government to acquire and analyze data from various databases to drive the optimization and improvement of strategy and policy development.

• In this role, you will develop custom data models and algorithms to apply to data sets.
• Provide recommendations, develop, and support the implementation of best practices for standardizing data across its lifecycle through engineering, development, and governance.
• Advise on a range of Enterprise and IC data management matters to include their application of substantive, analytical, operational, and program management functionality.

• An active TS/SCI with CI Poly clearance is required
• A Degree in Computer Information Systems, Computer Science, Database Administration, Data Science, Engineering, IT Management, Mathematics, or Statistics (or another quantitative field).
• Experience to education requirements are:
• 6 years of experience and a PhD in the noted focus.
• 8 years of experience and a Masters Degree in the noted focus.
• 10 years of experience and a Bachelors Degree in the noted focus.
• 12 years of experience and an Associates Degree in the noted focus.
• 14 years of experience and a GED/HS Degree.
• Minimum five (5) years of experience manipulating data sets and building statistical models, and familiarity with:
• Coding knowledge and experience with several languages (C, C, Java, JavaScript, etc.);
• Statistical and data mining techniques (Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.);
• Querying databases and using statistical computer languages (R, Python, etc.);
• Using web services (Redshift, Spark, DigitalOcean, etc.); and
• Creating and using advanced machine learning algorithms and statistics (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.).
• Strong problem solving skills with an emphasis on product development.
• Proven ability to drive business results with data-based insights.
• Demonstrated expertise with developing and implementing data management strategies, processes, and technical solutions.
• Demonstrated expertise with one of the key data management knowledge areas: data management, data quality, metadata management, data governance, data modeling and design, data storage and operations, data integration and operability, document and content management, reference and master data.
• Outstanding oral and written communication skills with the ability to conduct independent research, filter and synthesize data, and produce clear, logical, and concise recommendations to policy and decision-making data management and governance professionals.
• Outstanding interpersonal skills, including the ability to work independently and in a team or collaborative environment, to work with all levels of employees from support staff to senior leadership, and to be proactive and responsive in communicating with all stakeholders.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.