Data Scientist

2026-166986

CAtegory:

Information Technology

Clearance:

Secret

Location:

Herndon
,
Virginia

Telecommute:

Flexible for occasional telework – must be local to work location
About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton is seeking a Data Scientist to join our team of qualified, diverse individuals. This position will be located in Herndon, VA. The qualified applicant will become part of Peraton's Department of State (DOS) Consular Systems Modernization (CSM) Program, for the Bureau of Consular Affairs (CA). This initiative will modernize and consolidate the operational environment under a common technology framework to better support the services provided to CA’s customers. 

 

The Data Scientist will support predictive analytics, model development and help inform architectural decisions for data science tools supporting an overall enterprise predictive analytics platform. Stellar communication skills, forward thinking, and the ability to work in a fast-paced team environment will be pivotal. This role will serve as a hands-on data science solution developer, partnering with enterprise architects, cloud engineering teams, and product leadership to ensure scalable, secure, and sustainable solutions.

 

Roles and 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 by leveraging Large Language Models (LLMs), including data preparation, deployment, model fine-tuning, and evaluation to create innovative applications.
  • Work with cross-functional teams to integrate LLM capabilities into products, services, and decision-making processes.
  • Ahere to architectural governance and utilize 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.

 

DOSCSM

Qualifications

Basic Qualifications:

  • Bachelor's degree in STEM field, concentration in Data Science.
  • Minimum 2 years of relevant data science experience.
  • Strong communication skills (written and verbal) with the ability 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.
  • Proven experience applying advanced statistical methods, machine learning techniques, and programming tools to develop predictive and prescriptive models that support data-driven decision-making.
  • Demonstrated ability programming in Python, R, and/or Scala.
  • Must be able to obtain or have an Active Secret (or higher) clearance. Interim clearances are acceptable.
  • Must be a U.S. Citizen.

 

Preferred 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 PowerBI, Tableau or R Shiny.
  • Experience working within notebook environments such as Jupyter or Zeppelin.
  • Experience with Synapse, Azure Data Factory, Databricks.
Details

Target Salary Range: $51,000 - $82,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at&nbsp;<a href="https://www.careers.peraton.com/benefits?" target="_blank" rel="noopener">https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.&nbsp;By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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