Data Scientist – TS/SCI CI Poly

Tenica•Chantilly, VA
•$100,000 - $190,000•Onsite

About The Position

TENICA is hiring a Data Scientist to provide data science, analytical, and technical support for evaluating, modernizing, and optimizing complex enterprise systems and mission-critical capabilities for a government customer in Chantilly, Virginia. Candidates must have an active TS/SCI clearance with a CI polygraph. The role involves collecting, analyzing, interpreting, and visualizing technical, operational, and performance data to support government decisions and mission objectives. The Data Scientist develops and maintains analytical methodologies, data models, performance metrics, reporting capabilities, dashboards, and visualizations to assess system effectiveness and operational performance. The position also supports automated data collection and reporting, enterprise data management plans and policies, system and cloud performance analysis, anomaly investigations, and quantitative evaluation of architectures and technical alternatives. The successful candidate collaborates with multidisciplinary technical teams, stakeholders, and government leadership; assesses data quality and reliability; identifies trends, risks, and improvement opportunities; and communicates findings through reports, assessments, summaries, visualizations, and briefings. Junior through senior positions are available depending on experience.

Requirements

  • Experience supporting data analysis, data science, performance analytics, or technical reporting in 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 recommendations based on analytical findings.
  • Experience 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.

Nice To Haves

  • 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, Intelligence Community, or other federal government data science and analytics programs.
  • Proficiency with Python, R, SQL, or equivalent data analysis and programming technologies.
  • Experience developing dashboards and 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.

Responsibilities

  • Provide data science, analytical, and technical support for evaluating, modernizing, and optimizing enterprise systems and mission-critical capabilities.
  • Collect, analyze, interpret, and visualize technical, operational, and performance data to support government decisions and mission objectives.
  • Develop and maintain analytical methodologies, data models, performance metrics, and reporting capabilities.
  • Analyze system performance, availability, outages, technical discrepancies, and operational trends to identify risks, capability gaps, and improvement opportunities.
  • Support automated processes for collecting, processing, analyzing, and reporting system performance and operational data.
  • Evaluate operational data to identify patterns, anomalies, performance trends, and potential system reliability concerns.
  • Develop dashboards, visualizations, analytical reports, and technical assessments for government stakeholders and program leadership.
  • Support 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.
  • Collaborate with systems engineers, software developers, enterprise architects, cybersecurity personnel, and mission stakeholders to identify analytical requirements and data-driven solutions.
  • Support evaluation of system architectures, operational capabilities, and technical alternatives through quantitative analysis, modeling, and data visualization.
  • Develop and recommend 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 operational and technical data.
  • Assess data quality, consistency, completeness, and reliability to support accurate technical and operational assessments.
  • Support metrics and analytical reporting for acquisition activities, mission threads, enterprise operations, and program performance.
  • Evaluate emerging data science technologies, analytical techniques, and automation capabilities for opportunities to improve enterprise efficiency and mission support.
  • Prepare technical reports, analytical summaries, visualizations, and briefings communicating findings, recommendations, and performance assessments to government leadership.
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