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Data Science, Associate

Remote / Online - Candidates ideally in
Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Peraton
Remote/Work from Home position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 112000 - 179000 USD Yearly USD 112000.00 179000.00 YEAR
Job Description & How to Apply Below

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 do the can’t be done by solving the most daunting challenges facing our customers. Visit  to learn how we’re keeping people around the world safe and secure.

RESPONSIBILITIES

Peraton is hiring a Data Science Advisor to support critical missions within it's Risk Decision Group. This is a 100% Remote position.

What you’ll do:

  • Exercises creativity in applying traditional and non-traditional approaches to large-scale analysis of diverse data sources in support of high-value use cases.
  • Requires strong technical and computational skills - coupled with the ability to code design, develop, and deploy sophisticated applications using advanced structured, unstructured and semi-structured data analysis and modeling techniques.
  • Utilizes advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data of imperfect quality and deliver recommendations for business and analytic decisions.
  • Leverages data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, ODBC, SOAP and REST.
  • Creates visualizations, reports and data flows using tools like Microsoft Pivot, Palantir, Power BI, or Tableau.
  • Advises on data driven improvements - validates experiment design and communicates requirements for statistically sound and relevant results.
  • Develops and maintains high quality data products such as models, reports and dashboards.

QUALIFICATIONS

Required Qualifications:

  • U.S. citizenship
  • Must be able to obtain and maintain a Top Secret eligible clearance;
    Active federal background investigation with a T5 adjudication is preferred
  • Bachelor’s degree with 1+ years of relevant experience OR Master’s degree with 2+ years of relevant experience OR PhD with 0 years of relevant experience; an additional 6 years of experience maybe considered in lieu of a degree requirement
  • Experience with Python or R
  • Knowledge and experience of advanced analytics and data storage
  • Knowledge of various data science applications and architectures

Preferred Qualifications:

  • Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts
  • Ability to develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
  • Ability to lead multi-disciplinary teams to complete complex data science projects.
  • Experience with AWS or similar cloud provider
  • Experience in solving problems with structured and unstructured data
  • Experience in applying statistical and data visualization skills
  • Strong problem solving skills to manipulate data and draw insights from large data sets
  • Proven ability to learn and master new software, technologies and techniques.
  • Experience with SQL querying language and the Microsoft SQL Server ecosystem
  • Experience in two or more of the following:
    Python, Machine Learning, Natural Language Processing, Neural Networks, Apache Spark, Hadoop, R, C++, SQL Database/coding, or visualization tools such as Table
  • Experience with inferential and descriptive statistics
  • Experience with supervised and unsupervised machine learning techniques.
  • Experience with analysis of unstructured and semi-structured data, including natural language processing, deep learning and online person-in-the-loop training techniques.

Target Salary Range

$112,000 - $179,000. This represents the typical salary range for this position based on experience and other factors.

EEO

An Equal Opportunity Employer including Disability/Veteran.

OUR VALUES

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Position Requirements
10+ Years work experience
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