Senior Data Scientist
ARA
The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Senior 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.
This position is contingent upon award of a contract expected in July 2026. Essential Functions:- Coordinate teams as they process, clean, and transform structured and unstructured data.
- Support development of analytics, machine learning and statistical models, and exploratory data analysis.
- Create visualizations to identify patterns, trends, and performance indicators.
- Work with customers to translate user needs into analytic tasks.
- Lead 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 with and potentially lead an agile team, and contribute to sprint activities.
- Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field with 8+ years’ experience, or a Master’s degree with 6+ years’ experience.
- Must be a US citizen.
- Must be able to obtain and maintain a DHS Suitability clearance.
- Experience in Agile development practices and collaborative tools such as Jira and Gitlab.
- Experience in project management, coordinating with customers, and establishing scope, budget, and timelines for milestones and product releases.
- 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.
- 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, relational databases.
- Ability to write clearly and produce documentation, user guides, and training materials.
- Experience conducting data analyses in cloud environments such as AWS, Azure, Data Bricks, Google Cloud.
- Strong experience with geospatial analyses, as well as ESRI products such as ArcGIS
- Experience in project management, coordinating with customers, and establishing scope, budget, and timelines for milestones and product releases.
- DHS Suitability
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
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