Data Science, Advisor

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.

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.

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

Demonstrated experience in the following

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

Write analytics algorithms or models in time series text analytics cyber/network analysis

Authoring CI/CD jobs in jenkins groovy or gitlab CICD YAML

Managing non-person-entity (NPE) certificates

Writing or extending libraries of cross-boundary deployments via CI/CD workflows

Desired Experience

AWS

Machine Learning

AI Planning

Multi-Factor TLS

Authentication/Authorization

Model Management to include versioning artifact generation and ephemeral validation

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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.