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Junior Data Scientist
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Applied Research Associates, Inc
Fort Belvoir, VA (In Person)
Full-Time
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Job Description
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 War (DoW) 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. This position is contingent upon award of a contract expected in January 2027
Essential Functions:
- 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.
Required Qualifications:
- Must be a US citizen.
- Active and current SECRET clearance or higher with ability to upgrade to a TS/SCI clearance.
- 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 (Python, R, SQL, SAS) and data visualization (Tableau, Power BI) tools
- Ability to write clearly and produce documentation, user guides, and training materials.
Desired Qualifications:
- Experience with common data packages such as pandas, NumPy, scikit-learn, matplotlib, and data visualization frameworks such as Plotly or D3
- Experience with APIs, CSV/JSON datasets, relational databases
- Experience conducting data analyses in cloud environments such as AWS, Azure, Google Cloud
- Familiarity with Agile development practices and collaborative tools such as Jira and Gitlab