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Computer Scientist

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Peraton
Full Time position
Listed on 2025-11-30
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Required Qualifications:

  • Bachelor’s degree in a relevant field, such as Computer Science, with a minimum of relevant 8 years of experience.
  • Experienced in algorithm development, data structures, and software development practices.
  • Analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
  • Experienced with intelligence databases, software, and analytical tools.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Strong communication, analytical, and problem-solving skills.
Preferred Qualifications:
  • Master’s degree in a relevant field.
  • Experienced in advanced analytics, machine learning, and data integration methodologies.
  • Experience working in the customer environment is preferred.
Security Clearance:

This Position requires an Active TS/SCI and the ability to obtain a CI Poly, US Citizenship is required to hold this clearance.

Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters.

Responsibilities:

The Computer Scientist utilizes expertise in designing, developing, and maintaining data systems and software to create and maintain these systems, develop new technologies and algorithms, and solve complex computing and data system problems. Responsibilities are, but are not limited to:

Computer Science specific:
  • Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques.
  • Correlate complex, technical findings into graphical, written, visual and verbal narrative products.
  • Assess trends for existing data to identify and leverage other data sources.
  • Develop and utilize machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
  • Integrate or code algorithms to support Government intelligence search and discovery missions.
  • Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
  • Employ data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development.
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