Data Scientist Level 4 Security Clearance

Position: Data Scientist Level 4 with Security Clearance
Data Scientist 4

Location:

Annapolis Junction, MD

Clearance Required:

TS/SCI with Polygraph

Employment Type:

Full-Time Salary Range: $225,000 - $250,000 Join a Growing Team at Weeghman & Briggs Weeghman & Briggs is seeking a motivated and mission-driven Data Scientist 4 to support critical government initiatives in Annapolis Junction, MD. Founded in 2016 by Anthony Jordan, Weeghman & Briggs specializes in delivering high-impact analytical services to Government Agencies and private organizations. Since our founding, we have partnered with a range of federal entities and private corporations, earning a strong reputation as a trusted, results-driven company with an exceptional team of professionals.

As we continue to expand across current programs and upcoming contract awards, we are looking for talented individuals who want to contribute, grow, and build something meaningful alongside us. At Weeghman & Briggs, you're more than a number, you're part of the team. We've built a culture where your opinion matters, your voice is heard, and your contributions make a direct impact on mission success.

Our growth creates opportunity for advancement, leadership visibility, and long-term career development while maintaining the supportive, close-knit environment that sets us apart. If you're ready to grow your career while supporting important national missions, we'd love to connect with you. What You'll Do Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.

We are seeking a Data Scientist who is an established AI expert with demonstrable experience in designing and implementing sophisticated AI/ML and data science solutions across various domains within the customer environment. You will help to establish an authoritative role in a customer-prioritized and highly visible AI system that will be of critical use. You will need to to have experience designing and building customized capabilities to enable Retrieval Augmented Generation (RAG) for multiple enterprise data sets, agentic AI systems to automate and orchestrate decision-making actions across specialized AI resources, and Docker-based microservices, user-facing GUIs, and cloud-hosted services (Kubernetes architecture) hosted on AWS/Azure/Google service platforms
* Foundations: (Mathematical, Computational, Statistical).
* Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
* Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
* Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
* Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
* Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
* Effectively communicate complex technical information to non-technical audiences.

Preferred Qualifications
* Bachelor's Degree with 15 years of relevant experience.
* Associate's degree with 17 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
* Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer…