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.
This position will truly shape the CI community’s methods and application of data analysis.
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:
- 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.
SAIC is a premier technology integrator solving our nation's modernization and readiness challenges. Our offerings across defense, space, civilian, and intelligence markets include high-end solutions in engineering, IT, and mission outcomes. We integrate the best components from our portfolio with our partner's ecosystem to deliver innovative and effective solutions. We are 25,500 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, VA, SAIC has annual revenues of nearly $7.1 billion. For information, visit saic.com or Working at SAIC for benefits details. SAIC is an Equal Opportunity Employer empowering people no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status. We strive to create a diverse, inclusive and respectful work culture that values all.