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# Data Science, Associate - Herndon, VA

- **Company:** Peraton Inc
- **Location:** Herndon, VA, United States
- **Experience:** Starter
- **Salary:** $66,000.0 - $106,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Big Data, Cloud Engineering, Computer Simulation, Databases, Computer Engineering, Extract Transform Load (ETL), DevOps, Distributed Systems, R (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Scrum Methodology, Tensorflow, Software Engineering, SQL Databases, Pytorch, Apache Spark, Kubernetes, Information Technology, Data Analytics, Docker, Programming Languages
- **Published:** September 9, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9155666/data-science-associate-herndon-va

## About the Role

* BS degree in Data Science, Data Analytics, Computational Modeling & Data Analytics, Computer Science, Computer Engineering or related field and 0-2 years of experience.

 * May 2027 grads are welcome to apply.

US Citizenship and the ability to obtain and maintain a TS/SCI security clearance.

Foundational experience in data science technologies such as Python, R, Spark, and SQL.

Hands on experience through coursework and/or prior internships working with data science frameworks such as TensorFlow, PyTorch, and/or similar tools.

Strong analytical and problem-solving skills.

Ability to quickly adapt and learn new technologies and concepts.

Self-motivated, independent, detail-oriented, responsible team-player.

Strong written and oral communication skills.Desired Qualifications:

 * 3.0 and above GPA.
 * Exposure to Agile development processes and tools.
 * Familiarity developing ETL and data quality pipelines that process vast amounts of data.
 * Prior experience with distributed compute architectures such as Spark, Kubernetes, or Docker containers.
 * Ability to describe complex, technical problems to business stakeholders in a non-technical way.
 * Ability to self-manage day-to-day tasks independently and communicate collaboratively with leadership and other development team
 * Knowledge of big data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics
 * Understanding of large-language models or running open-source hugging face model

## Description

Peraton is seeking an Entry-level Data Science Associate in our Herndon, VA location to support a large software development classified program focused on developing, operating, and maintaining mission-critical enterprise capabilities. The program includes supporting existing mission systems while working to develop and deliver modernized, cloud-native, data-driven products and capabilities. The team applies Agile methodologies, DevOps principles, and modern data science, analytics, and machine learning practices to solve complex mission challenges., * Apply data science and analytical techniques to support mission and business objectives within an Agile development environment.

 * Collect, clean, transform, and analyze large and complex datasets to identify trends, patterns, and actionable insights.
 * Develop and maintain data processing, ETL, and data quality pipelines to support mission-critical applications and analytics.
 * Use programming languages and technologies such as Python, R, Spark, and SQL to perform data analysis, modeling, and automation.
 * Develop, test, and maintain data science and machine learning solutions using frameworks such as TensorFlow, PyTorch, or similar tools.
 * Support the development and integration of machine learning, artificial intelligence, and advanced analytics capabilities.
 * Work with distributed computing environments and large-scale datasets using technologies such as Spark, Kubernetes, and Docker.
 * Troubleshoot data, database, and pipeline issues and develop solutions to improve data quality, reliability, and performance.
 * Collaborate with software engineers, data scientists, analysts, and mission stakeholders to translate complex technical requirements into effective data-driven solutions.
 * Communicate analytical findings, technical concepts, and recommendations clearly to both technical and non-technical audiences.
 * Continuously learn and apply emerging technologies and methodologies in data science, artificial intelligence, machine learning, and analytics.
 * Participate in Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives, while collaborating with team members to deliver high-quality solutions.