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 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.

Requirements

  • Current TS clearance with SCI eligibility
  • 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 (Python, R, SQL, SAS) and data visualization (Tableau, Power BI) tools.
  • 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.
  • Demonstrated ability to work effectively within or lead a team of peers, as well as excellent interpersonal and communications skills.
  • 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, Google Cloud.
  • Familiarity with 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.

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.

Benefits

  • employees are our greatest assets
  • employee ownership fosters greater creativity and initiative along with higher performance and customer satisfaction levels
  • employees the tools, training, and opportunities to take more active roles as owners
  • Employees are eligible for contributions which not only add to the company’s success, but also their own through the Employee Stock Ownership Plan (ESOP)

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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