Data Scientist

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.

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, providing critical analytic insights to government stakeholders. Success depends on the development of accurate , scalable, and mission-tailored data solutions that enable timely and informed decision-making. The work directly impacts national security objectives by transforming complex data into actionable intelligence in a highly specialized and sensitive domain.

• 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 coding proficiency in Python and SQL , with experience writing production-quality, maintainable code; working knowledge of R is a plus.

• Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch , Tensor Flow), and automation tools.

• Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.

• Ability to clearly communicate technical concepts and analytical results in writing and verbally.

• Familiarity with NLP and LLM concepts, including practical experience applying pre-trained models (e.g., GPT-style models) for automation, summarization, or search.

• Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.

• Master’s degree in data science, computer science, statistics, engineering, or a related technical field.

• Experience with cloud-based…