Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 15 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join us. Barbaricum is seeking junior through senior-level Data Scientists to support the Long-Range Enterprise Intelligence, Surveillance, and Reconnaissance Activity (LEIA) Task Order, following the ongoing Combatant Commands C5ISR - Pacific Operations (C3PO) TO. This team will deliver advanced data analytics expertise to Special Operations Command Pacific (SOCPAC) and its strategic partners, ensuring the success of multi-mission capabilities. The Data Scientist will analyze, interpret, and manage large datasets, applying cutting-edge techniques to enhance intelligence, surveillance, and reconnaissance operations in a complex, multi-domain environment.
Responsibilities
Handle both structured and unstructured data to identify patterns, trends, and correlations.
Enable data-related processes like entity extraction, disambiguation, and visualization.
Support common operating picture solutions and data visualization efforts.
Enhance processes for data entity extraction and resolution.
Improve pattern extraction and link analysis techniques.
Optimize analysis of human and social-network links and connections.
Upgrade cloud-based online analytical processing and data frameworks.
Provide support for data visualization and algorithm development.
Design, modify, and maintain software tools that extract insights from data.
Work on a range of software components, including information management systems, software applications, machine learning models, and automation solutions.
Qualifications
Bachelor’s degree with 3-10+ years of experience
Experience with machine learning (ML) fields, e.g., natural language processing, computer vision, statistical learning theory
Experience in an ML engineer or data scientist role building ML models
Proficient in writing code in Python, R, Scala, Java, C++ with documentation for reproducibility
Experience handling terabyte-sized datasets, discovering hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
Experience writing and speaking about technical concepts to business, technical, and lay audiences, and giving data-driven presentations
Additional Information For more information about Barbaricum, please visit our website at www.barbaricum.com. We will contact candidates directly to schedule interviews. No phone calls please.
