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Peraton

Runs and secures technology for federal agencies

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeFort Meade, MD, USAIn-person

About the Job

Requirements

  • Active Top Secret/Sensitive Compartmented Information clearance with polygraph.
  • Meet one of the required experience pathways: 12 years without a degree, 10 years with an Associate of Arts or Associate of Science degree, 8 years with a Bachelor of Science degree, 6 years with an Associate of Arts or Associate of Science degree, or 3 years with a PhD.
  • Working knowledge of data science methodologies, machine learning, and Intelligence Community/Department of Defense classification guidelines.
  • Demonstrated ability to produce timely, logical, and concise analytic reports and data products.
  • Proficiency in R and/or Python.
  • Experience with Microsoft Power BI and Tableau.
  • Strong analytical and problem-solving skills, with the ability to communicate complex findings to non-technical audiences.

Responsibilities

  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis in support of USCYBERCOM J2 intelligence operations.
  • Use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products that enable more informed analytic decisions.
  • Proactively retrieve and analyze information from diverse sources to deepen understanding of complex data sets.
  • Build artificial intelligence tools that automate intelligence processes and develop machine-learning-based systems such as recommendation engines and automated lead scoring systems.
  • Perform statistical analysis, apply data mining techniques, and build high-quality prediction systems.
  • Develop and update data visualizations using Power BI and Tableau.
  • Manage and merge disparate data sources using R, Python, or SQL.
  • Apply expertise in large data Multi-INT analytics, machine learning, and automated predictive analytics.
  • Collaborate with Data Analysts and Collection Managers to identify tool development needs and prioritize capability gaps.
  • Author and maintain Operating Instructions for Command-wide programs and initiatives.

Desired Qualifications

  • Experience with Power BI, Tableau, R, Python, and SQL in an intelligence or national security context.
  • Background in large data Multi-INT analytics, machine learning, or automated predictive analytics.
  • Experience managing and merging disparate data sources across classification domains.
  • Familiarity with statistical analysis methodologies and data mining algorithms.
  • Knowledge of Intelligence Community data standards and intelligence community data architectures.
  • 12 or more years of relevant experience, including work within the last 2 years.
  • Master's degree in a related field, or a bachelor's degree plus 5 additional years of senior-level experience (17 years total).

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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