Data Scientist - Senior

Eligibility

To be eligible for this position, you must be a U.S. citizen. This position requires an active U.S. Government security clearance, and applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

This position requires an active U.S. Government Security Clearance at the TS/SCI level with an in-scope CI poly.

• Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
• Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
• Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
• Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
• Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
• Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
• Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
• Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
• Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
• Evaluate and optimize analytic performance using qualitative and quantitative metrics.

• Must be a U.S. citizen and have an active TS/SCI clearance with CI poly.
• 12 years of experience and an advanced degree. Experience with Git and software development workflows.
• Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
• Demonstrated experience with statistical analysis and data‑mining algorithms.
• Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.

• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
• Familiarity with graph databases or graph data structures.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience with AWS or similar cloud provider.
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem‑solving skills to manipulate data and draw insights from large data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
• Experience in two or more of the following:
  Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL database/coding, or visualization tools such as Tableau.

Base pay for this position within the Washington, DC metropolitan area is $–$ annually. For other states, salary ranges may vary based on geographic cost of labor.

Vantor offers a competitive total rewards package, including a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, pet insurance, and more. For more information on our benefits, visit

Vantor is an equal–opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.