Data Scientist Level 2

Data Scientist 2

Location:

Annapolis Junction, MD | Onsite

Clearance Required:

TS/SCI with Polygraph

Employment Type:

Full-Time

Salary Range: $135,600-$150,700

Weeghman & Briggs is seeking a motivated and mission-driven Data Scientist 2 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.

• Support mission‑critical programs in secure government environments
• Analyze requirements and translate them into actionable solutions
• Collaborate with cross‑functional teams to deliver high‑quality results
• Ensure compliance with contract and security standards
• Contribute ideas to improve processes, efficiency, and performance
• Work with ELINT data and TechSIGINT
• Conduct data manipulation and create visualizations as well as access and technology discovery (RF, VHF, DMR)
• Support Advanced Weapons and Counter Proliferation

• Active TS/SCI FS
• Experience supporting government or DoD programs
• Ability to work independently and within a collaborative team environment
• Strong written and verbal communication skills
• 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 Customer 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.
• Bachelor's Degree with 3 years of relevant experience, associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Bachelor'sDegree 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 Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence).
• College-level requirements, or upper-level math courses designated as elementary or basic…