Data Scientist - Mid

Overview

Data Scientist - Mid at Vantor
. Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The role focuses on supporting the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science to enhance analytic rigor, efficiency, and predictive capability across a broad mission set, including Object-Based Intelligence production and structured analytic method augmentation.

To be eligible for this position, you must be a U.S. Person
, defined as a U.S. citizen, permanent resident, asylee, or refugee. The position requires an active U.S. Government security clearance at the TS/SCI level with an in-scope CI poly. If a required clearance is not currently held, applicants will not be considered. Certain roles may be subject to U.S. export control laws per 8 U.S.C. § 1324b(a)(3).

• 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 with CI poly.
• 8 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.

The successful candidate’s starting pay will fall within the salary range of $ to $ annually. Salary is reviewed based on job‑related factors, including experience, qualifications, geographic location, and market conditions. Candidates with the minimum necessary experience and qualifications should not expect to receive the upper end of the pay range.