Data Scientist (CVP4)

Join our dynamic team as a Data Scientist at CASE Management Consulting!

This position requires an active TS/SCI Security Clearance (with the ability to obtain a CI poly)

The responsibilities may include:

• Prepare annual reports summarizing the findings and lessons learned related to SEAD 3 reportable anomalies reported and unreported, percentage of filers who were compliant, final actions referred to CE/CV for investigation, and trends in customer feedback
• Prepare monthly reports on the status of performance metrics due to the SISPV leadership.
• Leveraging lessons learned, propose process improvements to the SISPV Branch Chief.
• Data Science will use Commercial off Shelf Software (COTS) in combination with all available CE/CV reportable information (polygraphs, eReport, walk-ins, referrals, Rap Back, DNI CE alerts, emails, and EAFR) to produce sophisticated analytic models, Triage capabilities, and dashboard metrics for CE/CV Investigators.
• Discover patterns in past data to predict the outcome of future events including statistical modeling, classification and analysis, clustering, optimization and simulation, and customer segmentation.
• Text Mining-Provide information stored in text documents and databases including document classification, natural language processing, information extraction, and search.
• Data Infrastructure- Prepare, clean, and integrate disparate data sources and build Extract, Transform, Load (ETL), and data pipelines optimized for advanced analytics.
• Data Visualization- Create advanced algorithms that are easily accessible through 2-D and D and statistical and spatial visualization.
• Develop a dashboard capability for CE/CV Investigators that will allow triggers (resulting from the above) to be efficiently prioritized and worked.
• Applying the Risk Management Framework to provide a process to integrate security and risk management activities into the CE/CV development life cycle.
• Applying the risk-based approach to security control selection and specification consideration of effectiveness, efficiency, and constraints due to applicable laws, directives, executive orders, policies, standards, or regulations.
• Design, develop, test, and communicate data sources from documented and repeatable methods based on sound data engineering principles and applicable standards.
• Document, analyze, and enhance all data conditioning processes and procedures, translating raw data inputs into decision-quality data products appropriate for the SISPV leadership.
• Ability to identify systems enhancements and new capabilities, concept demonstrators, capability business case
• Ability to interact and work in a teaming environment
• Develop performance metrics to reflect business analytic maturity level.

Skills and Experience

 Required:

• An active TS/SCI clearance (with the ability to obtain a CI poly)
• Bachelor of Science degree or higher in statistics, mathematics, image science, remote sensing, earth science, physical science, or related technical or scientific field; or similar course of study at an accredited school (or substituted education and experience).
• Minimum 11-14 years experience.
• Familiarity with data mining ability to develop, manipulate, and maintain databases.
• Demonstrated experience using software packages for advanced statistical analysis of operational data and tools for data visualization.
• Demonstrated participation in and/or directing the activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems.
• Ability to develop mathematical algorithms and applications in response to complex requirements
• Ability to identify systems enhancements and new capabilities, concept demonstrators, capability business cases
• Ability to provide training as new systems and capabilities move into operational use
• Ability to work independently in a fast-paced, constantly changing environment.
• Ability to interact and work in a teaming environment

Case Management Consulting is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.