Junior Data Scientist

ARAAlexandria, VA

About The Position

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Junior Data Scientist to support a multi‑disciplinary team providing data analysis and visualization support across the Department of Homeland Security (DHS) mission space. You will support data-driven decision making by analyzing data, developing basic models, creating visualizations, and generating actionable insights as part of a multi-disciplinary team delivering analytical and software solutions for national security missions. This role is ideal for early-career data scientists passionate about solving real operational problems and building prototypes in an agile environment.

Requirements

  • Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field with 2+ years’ experience, or a Master’s degree in data science, statistics, computer science, mathematics, or a related field.
  • Experience performing analysis on large datasets and knowledge of machine learning tools and statistical techniques to produce solutions
  • Proficiency with common data science scripting tools and software (Python, R, SQL, SAS) and data visualization (Tableau, Qlik, Power BI) tools
  • Ability to write clearly and produce documentation, user guides, and training materials.

Nice To Haves

  • Experience with common data packages such as pandas, NumPy, scikit-learn, pytorch, and data visualization frameworks such as matplotlib, seaborn, and Plotly
  • Experience with APIs, CSV/JSON datasets, or relational databases
  • Experience in developing statistical forecasting, network analysis
  • Experience with geospatial analyses, as well as ESRI products such as ArcGIS
  • Familiarity with Agile development practices and collaborative tools such as Jira and Gitlab
  • DHS Suitability

Responsibilities

  • Assist with processing, cleaning, and transforming structured and unstructured data.
  • Support development of analytics, machine learning and statistical models, and exploratory data analysis.
  • Create basic visualizations to identify patterns, trends, and performance indicators.
  • Work with senior data scientists and developers to translate user needs into analytic tasks.
  • Contribute to the design, testing, and deployment of data and analytic workflows.
  • Build and deploy scripts and tools to automate routine data tasks.
  • Help prepare documentation, user guides, and training materials.
  • Stay current on emerging technologies, analytic methods, and industry best practices.
  • Collaborate as part of an agile team, and contribute to sprint activities.

Benefits

  • Employee Stock Ownership Plan (ESOP)
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