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Data Scientist (Req ID: 2330)
ExcelityUnited Statesfull_timeVerifiedPosted 4 May 2023
About the role
Excelity is seeking a Data Scientist for a project responsible for building the next generation Mission Information Systems for an exciting Government customer with a very critical mission. The candidate will work with the engineering team and customer to ensure successful development of high profile, complex, technical deliverables that are core to the continued success of our award-winning projects.
Position Description:
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. Handle 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.
Required Skills:
• Full time work in a SCIF is required, but hours are flexible.
• Requires Bachelor's degree in related field of study with 12 or more years of experience. Additional experience may be considered in lieu of degree.
• TS/SCI with ability to pass a CI polygraph
• Python scripting, Pandas, Excel
• Jupyter Notebooks
• Data Analysis, Engineering and Enrichment
• Strong testing and verification skills
• Ability to work in a fast-paced, high visibility environment
Desired Skills:
• Security+ or other IAT II/III level certification that is currently active
• ArcGIS automation and modeling
• Experience with SAFEHOUSE web GIS platform
• Current CI poly
Security Clearance:TS/SCI with ability to pass a CI polygraph
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. Handle 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.
Required Skills:
• Full time work in a SCIF is required, but hours are flexible.
• Requires Bachelor's degree in related field of study with 12 or more years of experience. Additional experience may be considered in lieu of degree.
• TS/SCI with ability to pass a CI polygraph
• Python scripting, Pandas, Excel
• Jupyter Notebooks
• Data Analysis, Engineering and Enrichment
• Strong testing and verification skills
• Ability to work in a fast-paced, high visibility environment
Desired Skills:
• Security+ or other IAT II/III level certification that is currently active
• ArcGIS automation and modeling
• Experience with SAFEHOUSE web GIS platform
• Current CI poly
Security Clearance:TS/SCI with ability to pass a CI polygraph
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