Location: Annapolis Junction, MD
(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. Required Experience/Education:
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 Preferred/Desired Experience: Security+ or other IAT II/III level certification that is currently active Arc GIS automation and modeling Experience with SAFEHOUSE web GIS platform For more details: jobs-search.
org/data-scientist_annapolis-junction-c433930/data-scientist-mid-security-clearance-required-annapolis-junction_i1971246576
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