As a Data Scientist Senior Technical Specialist, some of your duties will include:

• Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), 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.
• Analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. Exploratory Data Analysis (EDA)
• Handle processing and index requests against high-volume collections of data and high-velocity data streams.
• Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.
• Suggest innovative and creative concepts and ideas that would improve the overall platform
• Strong understanding of the most recent trends around telecom industry and technology adoption
• Strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications and prototypes using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
• Utilize advance tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions.

• Active TS/SCI clearance with ability to pass a polygraph
• Full time work in a SCIF is required, but hours are flexible.
• Degree in computer science, software engineering, or field applicable to the position required.
• Bachelor's and 6 years of relevant experience required. Additional experience may be considered in lieu of degree.
• Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, 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
• Experience with Python scripting, Pandas, Excel
• Experience with Jupyter Notebooks
• Data Analysis, Engineering and Enrichment
• Strong testing and verification skills
• Ability to work in a fast-paced, high visibility environment

• Security or other IAT II/III level certification that is currently active
• ArcGIS automation and modeling
• Experience with SAFEHOUSE web GIS platform