• Modeling and Data Analyst

    Job Locations US-VA-Tysons
    Posted Date 6 months ago(1/7/2019 9:35 AM)
    Job ID
    # of Openings
  • Overview

    This position is in the Data Analytics Practice in a not-for-profit government consulting firm in Tysons, VA. The position requires performing analyses with large-scale simulation models, as well as general data analytics. Simulation analyses require developing input data sets, from a wide variety of data sources, performing quality assurance on input data, configuring and running simulations, interpreting results, and clearly communicating findings. Data analytics work will engage your curiosity and problem solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. Both types of work involve developing clear narratives that help our clients understand their data and how those insights address their specific research questions.


    • Developing input data sets for large-scale inventory simulation analyses, from multiple data sources with diverse formats, and performing quality assurance on that data.
    • Configuring inventory simulations, including complex replenishment and repair policy settings.
    • Interpreting and developing data visualizations of simulation output to clearly convey findings.
    • Framing and scaling data problems to effectively analyze, visualize and find data solutions.
    • Working with and manipulating common data formats.
    • Transforming data and analysis into informative data visualizations and/or interactive dashboards using open source and commercially available visualization and dashboard tools.
    • Deriving insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.
    • Ability to work in a fast-paced, solutions-oriented environment.
    • Possess the ability to work in teams and independently.


    • Bachelor’s degree or higher in operations research, data science, mathematics, statistics, economics, physics, computer science, engineering, or other quantitative discipline required. Master’s degree or higher preferred.
    • At least 5-10+ years of experience in the field and a Bachelor's degree is required. Master's degree in the above disciplines can be considered in lieu of experience.
    • Experience performing analyses with stochastic simulation models.
    • Knowledge of inventory and repair planning systems helpful but not required, will train.
    • Experience working with tools including object-oriented programming (Python, C++, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
    • Working knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections.
    • DOD experience preferred 
    • Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Additional preferred qualifications include working with unstructured text and natural language processing.
    • Preferred experience with M&S capabilities to include wargames, analytical frameworks, and simulations to assist in the testing of concepts and decisions, exploration of issues, and development and maintenance of data bases to support models, games, and simulations. 
    • Superior communication skills, both oral and written.
    • Secret clearance is required



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