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Data Science Advisor - Data Science

Peraton

$146,000 - $234,000
Sep 27, 2025
Chantilly, VA, USA
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Peraton is looking to solve complex data analysis challenges for national security missions, requiring the ability to process and analyze large volumes of unstructured and semi-structured data to support high-value use cases and deliver actionable insights.

Requirements

  • Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C, C++).
  • Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.
  • Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
  • Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.
  • Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr.
  • Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
  • Experience with machine learning, algorithm analysis, and data clustering.

Responsibilities

  • Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
  • Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
  • Handles processing and index requests against high-volume collections of data and high-velocity data streams.
  • Has the ability to make discoveries in the world of big data.
  • Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
  • Has the ability to utilize advance tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions.
  • Write analytics, algorithms, or models in time series, text analytics, cyber/network analysis

Other

  • Requires current TOP SECRET/SCI Clearance with Poly
  • Developing python and bash scripts
  • Developing docker files and running docker containers both isolated and as networked services
  • Use of git technologies to include hub and lab
  • Authoring CI/CD jobs in jenkins groovy or gitlab CICD YAML