Data Scientist - MID Job#480

Allen Integrated Solutions

  • Washington, DC
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • ArcGISunmatched
    • Automationunmatched
    • Bayesian Networksunmatched
    • Cloud Computingunmatched
    • Customer Relationsunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Processingunmatched
    • Data Scienceunmatched
    • Data Visualizationunmatched
    • Gitunmatched
    • Governmentunmatched
    • Integrated Circuits (ICs)unmatched
    • Linear Algebraunmatched
    • Markov Chainsunmatched
    • Natural Language Processing (NLP)unmatched
    • Operational Improvementunmatched
    • Performance Analysisunmatched
    • Performance Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • SQL (Structured Query Language)unmatched
    • Statistical Analysis System (SAS)unmatched
    • Statisticsunmatched
    • Visual Programmingunmatched
    • Workflow Analysisunmatched

    Description

    Data Scientist - MID

    Location: Springfield, VA 

    TS/SCI REQUIRED

    Position Responsibilities:  

    • Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
    • Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
    • Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
    • Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
    • Conduct extensive collections and analytic modeling, data processing,  

    Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.  

     

      

     

     

     

    Numbers & Facts

    LocationWashington, DC

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