Data Science, Advisor

Overview

Data Science, Advisor role aton 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.

• 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.

• 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, Git Lab CI/CD YAML)
• Developing Python and Bash scripts; creating Dockerfiles and running containers;
  Git workflows (Git Hub, Git Lab)
• Experience with non-person-entity certificates and cross-boundary deployments via CI/CD

• 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:

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