Journeyman Data Scientist

ARA•Alexandria, VA

About The Position

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Journeyman 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 5+ years’ experience, or a Master’s degree with 3+ years’ experience.
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.

Nice To Haves

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

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 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.