Data Scientist

Vantor Holdings, Inc.; Virginia; On-site; USD 120,000 - 165,000; Full time

Job summary

Vantor Holdings, Inc. is seeking a data scientist/engineer to join our security-focused data team in Virginia. You will automate data extraction, build scalable analytics, and support mission-critical intelligence workflows under TS/SCI clearance.

You'll develop predictive models, work with big data tools, and help deploy LLM-enabled solutions. Collaboration with engineers, analysts, and mission partners is essential to translate complex data into actionable insights for national security.

Qualifications

• 5 years of professional experience in data science, analytics, or data engineering.
• Bachelor's degree in data science, CS, engineering, statistics, GIS, or related field (or 2 extra years of experience).
• Strong coding proficiency in Python and SQL.

Responsibilities

• Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.
• Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).
• Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.
• Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.
• Write clear, well-structured documentation of methods, assumptions, and results; assist with briefings or presentations to technical and non-technical stakeholders.
• Support the use of Large Language Models (LLMs) within existing systems and workflows, including: Implementing LLM-based solutions for summarization, tagging, classification, and information retrieval.
• Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.
• Assisting with deployment and evaluation of internal LLM-enabled tools or assistants.
• Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.

Skills

Python

SQL

ETL

Big Data

Cloud services

Education

Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related field

Tools

Spark

Hadoop

Cloud platforms

Job description

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. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, 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).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph.

This project supports a hard and deeply buried target mission set,providingcritical analytic insights to government stakeholders. Success depends on the development ofaccurate, scalable, and mission-tailored data solutions that enable timely and informed decision-making. The work directly impacts national security objectivesby transforming complex data into actionable intelligence in a highly specialized and sensitive domain.

Responsibilities:

• Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.
• Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).
• Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.
• Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.
• Write clear, well-structured documentation of methods, assumptions, and results; assist with briefings or presentations to technical and non-technical stakeholders.
• Support the use of Large Language Models (LLMs) within existing systems and workflows, including:
• Implementing LLM-based solutions for summarization, tagging, classification, and information retrieval.
• Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.
• Assisting with deployment and evaluation of internal LLM-enabled tools or assistants.
• Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.

Minimum Qualifications:

• Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.
• 5 years of professional experience in data science, analytics, or data engineering roles.
• Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related discipline.Degree may be substituted with an additional 2 yrs of experience.
• Strong codingproficiencyin