5-7 years of experience in data analysis or data science within complex IT environments.
Proficient in statistical analysis, data modeling, and visualization techniques.
Experience with performance metrics and analytical reporting tools.
Strong ability to identify trends and anomalies in operational data.
Familiarity with data processing and visualization tools like Python, R, or SQL.
Active TS/SCI clearance with CI Polygraph is mandatory.
Excellent communication and collaboration skills with multidisciplinary teams.
Responsibilities
Provide analytical support for optimizing enterprise systems and mission capabilities.
Collect and visualize data to aid government decision-making.
Develop methodologies and metrics to assess system performance.
Analyze operational trends to identify risks and improvement opportunities.
Support automated processes for data collection and reporting.
Create dashboards and reports to communicate findings to stakeholders.
Collaborate with technical teams to define analytical requirements.
Benefits
Opportunities for professional development and training.
Access to cutting-edge data science technologies.
Collaborative work environment with multidisciplinary teams.
Engagement in mission-critical projects for government clients.
Full Job Description
Data Scientist - TS/SCI CI Poly
Department: Government Customer - Chantilly Location: Chantilly, VA
ACTIVE TS/SCI CLEARANCE WITH CI POLY REQUIRED TO BE CONSIDERED FOR THIS POSITION
Job Responsibilities
Provide data science, analytical, and technical support for the evaluation, modernization, and optimization of complex enterprise systems and mission-critical capabilities.
Collect, analyze, interpret, and visualize technical, operational, and performance data to support government decision-making and mission objectives.
Develop and maintain analytical methodologies, data models, performance metrics, and reporting capabilities to assess system effectiveness and operational performance.
Analyze system performance, availability, outages, technical discrepancies, and operational trends to identify potential risks, capability gaps, and opportunities for improvement.
Support the development of automated processes for collecting, processing, analyzing, and reporting system performance and operational data.
Evaluate historical and current operational data to identify patterns, anomalies, performance trends, and potential system reliability concerns.
Develop dashboards, visualizations, analytical reports, and technical assessments to communicate findings to government stakeholders and program leadership.
Support the development, maintenance, and execution of enterprise data management plans, policies, and analytical processes.
Analyze technical performance measurements, cloud service consumption, infrastructure utilization, and enterprise resource trends to support operational planning and optimization.
Collaborate with systems engineers, software developers, enterprise architects, cybersecurity personnel, and mission stakeholders to identify analytical requirements and data-driven solutions.
Support the evaluation of system architectures, operational capabilities, and technical alternatives through quantitative analysis, modeling, and data visualization.
Develop and recommend key performance indicators (KPIs), analytical methods, and automated reporting solutions to improve program monitoring and operational awareness.
Support anomaly investigations, root cause analysis, discrepancy tracking, and corrective action assessments using available operational and technical data.
Assess data quality, consistency, completeness, and reliability to ensure analytical results support accurate technical and operational assessments.
Support the development of metrics and analytical reporting for acquisition activities, mission threads, enterprise operations, and program performance.
Evaluate emerging data science technologies, analytical techniques, and automation capabilities to identify opportunities for improved enterprise efficiency and mission support.
Prepare technical reports, analytical summaries, data visualizations, and briefings to communicate findings, recommendations, and performance assessments to government leadership.
Required Qualifications
Experience supporting data analysis, data science, performance analytics, or technical reporting activities within complex IT or enterprise environments.
Demonstrated experience collecting, processing, analyzing, and interpreting structured or unstructured data.
Knowledge of statistical analysis, data modeling, quantitative assessment, and data visualization techniques.
Experience developing performance metrics, analytical reports, dashboards, or other data-driven decision-support products.
Ability to analyze operational data, identify trends and anomalies, and develop meaningful recommendations based on analytical findings.
Experience working with data processing, analysis, reporting, or visualization tools.
Understanding of data quality, data management, analytical methodologies, and automated reporting processes.
Experience translating technical or operational requirements into measurable performance indicators and analytical solutions.
Ability to collaborate with multidisciplinary technical teams, program stakeholders, and government customers.
Strong analytical, problem-solving, technical documentation, and communication skills.
Active Top Secret/SCI clearance with a Counterintelligence (CI) Polygraph.
Desired Qualifications
Junior to senior positions available, depending on experience.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related technical field.
Experience supporting Department of Defense (DoD), Intelligence Community (IC), or other federal government data science and analytics programs.
Proficiency with data analysis and programming tools such as Python, R, SQL, or equivalent technologies.
Experience developing dashboards and data visualizations using Tableau, Microsoft Power BI, or comparable platforms.
Knowledge of statistical modeling, predictive analytics, machine learning, and advanced analytical methodologies.
Familiarity with enterprise data management, data governance, data integration, and data quality assessment practices.
Experience analyzing cloud infrastructure performance, operational metrics, system availability, and resource utilization.
Knowledge of automated data pipelines, data processing frameworks, and scalable analytical environments.
Familiarity with hybrid and multi-cloud environments, enterprise data architectures, and distributed data systems.
Experience supporting system performance assessments, anomaly detection, root cause analysis, and mission-focused operational analytics.
Professional certifications in Data Science, Data Analytics, Cloud Technologies, or related technical disciplines.
