• Junior Data Scientist (Secret Clearance Required)

    Job Locations US-VA-Tysons
    Posted Date 2 months ago(1/7/2019 9:50 AM)
    Job ID
    # of Openings
  • Overview

    This position is embedded within our Data Analytics practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.


    • Frame and scale data problems to analyze, visualize, and find data solutions.
    • Manipulate common data formats, including comma-delimited, text files, and JSON.
    • Transform data and analysis into informative data visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
    • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
    • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.


    • Active DoD Secret clearance
    • Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline
    • Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)
    • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact
    • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
    • At least 1–4 years of experience in the field
    • Superior communication skills, both oral and written
    • Preferred experience in the following areas:
      • DoD experience preferred
      • Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
      • Unstructured text and natural language processing
      • R, Python, SAS, or MATLAB
      • Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data affecting DoD operations
      • Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets
      • Supervising algorithm implementation in on-premise and cloud-based computing environments
      • Developing software to generate reports and visualizations that summarize data sets and provide data-driven insights
      • Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions


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