Data Scientist

Cdd Spa - Lorton, VA

Full-time - Entry Level

Lorton, VA

Food Services and Drinking Places

About the position

The position involves providing data science services to support scalable and highly available application solutions within the Nuclear Technologies Detection (NTD) Division. The role focuses on transforming legacy applications into modular micro-services architectures and includes responsibilities in AI/ML pipeline architecture design, development, and testing. The candidate will also provide technical guidance to development teams and support the analysis and development of customer-driven technical data architectures and solutions.

Responsibilities

• Assist the NTD Division in providing data science services for scalable application solutions.
• Support the transformation of monolithic legacy applications to modular micro-services architecture.
• Provide AI/ML pipeline architecture design, development, and testing expertise.
• Design and develop data architectures that support enterprise and application-level capabilities.
• Provide technical guidance to AI/ML and data science development teams.
• Support software development teams in designing and integrating data-intensive application frameworks.
• Recommend technology implementations and data migration techniques for efficient solutions.
• Analyze and recommend approaches for making heterogeneous data sources accessible.
• Aid in optimizing data management across nodes and performance of distribution.
• Execute analytical experiments and prototyping to solve problems across various domains.
• Identify relevant data sources for client business needs and collect large datasets.
• Research and evaluate new technology and architecture development patterns.
• Write technical reports and white papers on technology and methodology research.

Requirements

• Master's degree in data science, computer science, or a related technical discipline with 1-3 years of experience, or a Bachelor's degree with 5-7 years of experience.
• Proficiency with AI/ML pipeline design and development in enterprise solutions.
• Knowledge of development environments and frameworks (DevSecOps, MLOps).
• Proficiency in modern scripting languages (e.g., Python, SQL, R) or programming languages (e.g., Java, C++).
• Excellent understanding of machine learning techniques and algorithms (k-NN, Naive Bayes, SVM, Decision Forests).
• Experience with DoD Risk Management Framework (RMF) and AI RMF.
• Familiarity with microservices ML architectures and model/containerization.
• Familiarity with APIs and cloud services (e.g., AWS, MS Azure).
• Experience transitioning legacy systems to cloud-optimized applications.
• Ability to work independently with minimal guidance.
• Strong working knowledge of Microsoft Office products and MS Teams.

Nice-to-haves

• Experience with federated machine learning and data processing.
• Professional certifications in related topics and tools (e.g., Elasticsearch engineer).
• Experience in DoD Dev/Sec/Ops delivery of software capabilities.
• Knowledge of DoD Command & Control (C2) networks.
• Understanding of the DoD Architecture Framework (DoDAF).
• Working knowledge of DTRA RD's mission and organization.