Data Scientist - Nuclear Tech Integration Job Listing at SPA in Lorton, VA (Job ID 2024-18863)

Description

Qualifications

Required:

• Bachelor's degree in engineering, data science, computer science, or related technical discipline and 5 years of experience (or a MS degree + 3 years)
• Direct experience supporting data architecture and solution efforts and a demonstrated understanding of Systems Engineering and Acquisition processes
• Knowledge of and experience with DoD Architecture Framework (DoDAF)
• Experience with data compliance, data security, and modern data management approaches
• Experience transitioning legacy systems to cloud environment optimized applications
• Certification in agile software development methods (Scrum, SAFe)
• Familiarity developing applications that use containers, micro-services programming, and cloud services
• Working knowledge of programming language such as Python, SQL, R, etc.
• Must be able to work independently and complete tasking with minimum guidance and supervision
• Must have excellent interpersonal communication skills
• Strong working knowledge of Microsoft Office products and use of Teams
• Active DoD Secret clearance with ability to obtain a TS/SCI clearance

 Desired:

• Active DoD TS/SCI
• Experience in Dev/Sec/Ops delivery of software capabilities
• Experience with DoD Command & Control (C2) networks (JADC2, IEW, etc.)

The successful candidate will assist our customer in providing a data architecture capable of supporting scalable, highly available application solutions that leverage cloud native services; supporting the transformation of monolithic, legacy applications to a more modular, micro-services architecture; providing data architecture design, development and test knowledge and expertise with respect to cloud architecture, design patterns, and data analysis requirements; and defining data architectures that support both the enterprise and application level capabilities with systems and network security, scalability, fault tolerance and optimal performance.

Responsibilities include supporting analysis and development of customer-driven technical data architectures and solutions; providing technical guidance to software development teams designing, developing and integrating a data-intensive application framework using modern data-centric enabling technologies, cloud computing and virtualization architecture; providing recommendations for technology implementations, application & data migration techniques and tools for the most efficient solution to meet mission needs, including present and future capacity requirements; supporting the transformation of monolithic, legacy applications to a more modular, micro-services architecture; analyzing and recommending approaches for making heterogeneous data sources broadly available for discover-ability and access to support a wide consumer-base, analytic needs, and use by diverse applications, services, and systems; and optimizing the management of data across nodes and the performance of distribution, search and retrieval. This will include evaluating new technology, reviewing existing technology and architecture patterns and practices, helping guide and estimate new feature development, architectural and development guardrails, and identifying ways to measure architecture maturity objectively, to include identifying performance bottle-necks and evaluating scaling benchmarks.

10-25% travel required.