P

Peraton

Runs and secures technology for federal agencies

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeHerndon, VA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in a STEM field with a concentration in Data Science.
  • At least 2 years of relevant data science experience.
  • Strong written and verbal communication skills to clearly communicate complex data findings to technical and non-technical stakeholders.
  • Ability to design the collection, cleaning, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
  • Experience applying advanced statistical methods, machine learning techniques, and programming tools to develop predictive and prescriptive models that support data-driven decision-making.
  • Programming ability in Python, R, and/or Scala.
  • Active Secret or higher clearance; interim clearances are acceptable.
  • Must be a U.S. citizen.

Responsibilities

  • Develop data analytics products, AI services, and enterprise data science capabilities.
  • Design and develop the collection, cleaning, transformation, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
  • Develop and implement data-driven solutions using large language models, including data preparation, deployment, model fine-tuning, and evaluation to create innovative applications.
  • Work with cross-functional teams to integrate large language model capabilities into products, services, and decision-making processes.
  • Adhere to architectural governance and use sustainable development practices.
  • Support the design of predictive analytics models using data analytics and machine learning techniques.
  • Help inform the architecture and implementation of large-scale data analytics projects.

Desired Qualifications

  • Previous experience as a software developer.
  • Experience delivering data analytics and AI services in AI development environments.
  • Background in cloud-based architecture and scalable data engineering ecosystems.
  • Experience creating data analytics visualizations and dashboards using tools such as Power BI, Tableau, or R Shiny.
  • Experience working within notebook environments such as Jupyter or Zeppelin.
  • Experience with Synapse, Azure Data Factory, and Databricks.

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

Recently Posted Jobs

Explore more opportunities at Peraton

See more jobs