LMI - McLean, VA

posted about 2 months ago

Full-time - Senior
McLean, VA
Professional, Scientific, and Technical Services

About the position

LMI is seeking a Senior Data Scientist to support a U.S. Federal Government Agency working with classified media. This role involves collaborating with a team to build new capabilities, applying machine learning models, and developing data visualizations to present complex analytic results effectively. The position requires a strong technological background and the ability to structure data for reporting, focusing on delivering practical solutions to support the client's mission.

Responsibilities

  • Gather and process raw data at scale using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, Scala).
  • Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges.
  • Query databases using SQL with structured data and perform statistical analysis.
  • Develop familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks.
  • Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations.
  • Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools.
  • Think strategically about how to publish data visualizations and present analytic results.
  • Support business decisions with ad hoc analysis.

Requirements

  • 3 years of experience using data sources from industry, academia, the IC, the military, and/or the scientific community.
  • 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory.
  • 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods.
  • Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization.
  • Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products.
  • Active TS/SCI with polygraph required.
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