Senior Data Scientist

ARA Brand; Alexandria (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

Ara in Alexandria, Virginia is seeking a Senior Data Scientist to join their Capabilities, Analysis and Development (CAD) division. This opportunity involves providing data analysis and visualization support across the Department of Homeland Security (DHS) mission space. The ideal candidate will work in a multi-disciplinary team developing models, creating visualizations, and delivering insights for national security.

The role requires a Bachelor's or Master's degree in relevant fields, along with experience in data science and Agile methodologies. Proficiency with tools like Python and SQL, coupled with skills in machine learning and data visualization, is essential.

Qualifications

• 8+ years of experience in data science, statistics, or a related field.
• Experience working in Agile development environments.
• Strong expertise in machine learning and statistical modeling techniques.
• Proficient in using common data science tools like Python, R, SQL, and visualization tools.

Responsibilities

• Coordinate teams in processing and transforming various data types.
• Support development of analytics and statistical models.
• Create visualizations to identify trends and performance indicators.
• Collaborate with users to define analytic tasks and document workflows.

Skills

Data analysis

Machine learning

Data visualization

Agile development

Project management

Python

SQL

R

Statistical techniques

Education

Bachelor’s degree in relevant field (8+ years experience) or Master’s degree (6+ years experience)

Tools

Tableau

Qlik

Power BI

Jira

Gitlab

Job description

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.

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.

Required Qualifications

• 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.
• 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.

Desired Qualifications

• 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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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