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Data Science, Advisor

Data Science, Advisor

PeratonChantilly, VA, US
9 hours ago
Job type
  • Full-time
Job description

Overview

Data Science, Advisor role at 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. The company serves as a trusted partner to essential government agencies and supports every branch of the U.S. armed forces.

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.
  • Apply non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
  • Process and index requests against high-volume data collections and high-velocity data streams; discover insights in big data.
  • Develop and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques on high-performance computing environments.
  • Utilize advanced tools and computational skills to interpret, connect, predict, and deliver recommendations for business and analytic decisions.

Qualifications

  • Minimum of 8 years with BS / BA; Minimum of 6 years with MS / MA; Minimum of 3 years with PhD
  • Requires current TOP SECRET / SCI Clearance with Poly
  • Experience with software development stacks (Java / Linux / Ruby / Python) or Windows stack (.NET, C#, C++)
  • Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP, REST
  • Cloud-based data analysis tools including Hadoop and Mahout; Apache Accumulo, Hive, Impala, Pig; visual analytics tools
  • Experience with open-source textual processing (Lucene, Sphinx, Nutch, Solr) and entity extraction / conceptual search (LSI, LDA)
  • Machine learning, algorithm analysis, and data clustering
  • CI / CD experience (Jenkins, Groovy, GitLab CI / CD YAML)
  • Developing Python and Bash scripts; creating Dockerfiles and running containers; Git workflows (GitHub, GitLab)
  • Experience with non-person-entity certificates and cross-boundary deployments via CI / CD

    • Details

  • Target Salary Range : $146,000 - $234,000. Salary is determined by scope, experience, education, location, and other factors. Overtime, shift differential, and discretionary bonuses may apply depending on the position.
  • EEO : Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

    • Note : This description retains the core job information while removing extraneous boilerplate and non-essential postings. It uses plain HTML structure with allowed tags only and avoids table-based layouts or presentational elements.

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    Data Science • Chantilly, VA, US