2701 Technology Drive, Annapolis Junction, MD, USA
Location
In office
Work mode
Full-time
Schedule
Principal
Level
$153K–$229K est.
Estimated compensation
15+ years exp
Experience
Job description
Data Scientist 4
Location: Annapolis Junction, MD | Onsite Clearance Required: TS/SCI with Polygraph Employment Type: Full-Time Salary Range: $219,710-$256,971
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
• 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
• 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.
What You Bring
• Active TS/SCI with polygraph
• Experience supporting government or DoD programs
• Ability to work independently and within a collaborative team environment
• Strong written and verbal communication skills
• Proficient with API interaction including reading/using/building tools to retrieve data
• Experience with Pandas data frames and aggregation using Python is required.
• 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 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 requirement, or upper-level math courses designated as elementary or basic do not count.
• Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Capable of applying and developing best tradecraft practices for deep analysis of network-centric data from a variety of sources and extracting actionable intelligence, including pattern recognition and attribution.
• Pandas Data frame and aggregation experience using Python is required.
• Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus.
Preferred Qualifications
• Relevant certifications (Security+, CISSP, PMP, AWS, etc.)
• Agile, cloud, or modernization experience
• Background in process improvement or analytical services
• Data Visualization capabilities with Plotly, Shapely, GeoPandas is a plus.
• AMOD proficiency and an understanding of dataflow is a plus.
• Splunk, SQL, Elastic, Kibana, or Networking experience is a plus.
• Front end web development using bootstrap (HTML) or Pyodide are also a plus.
Benefits
At Weeghman & Briggs, we believe our people are our greatest strength. We offer a competitive benefits package designed to support you both professionally and personally.
Learn more about our benefits here: 👉 weeghmanandbriggs.com
Equal Employment Opportunity
Weeghman & Briggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.
Requirements
Must-haves
Data Scientist 4
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 .
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.
If you're ready to grow your career while supporting important national missions, we'd love to connect with you.
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
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.
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.
Nice-to-haves
Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus.