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 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.
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 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 TensorFlow) 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 environments (e.g. AWS Azure or GCP) and scalable data processing pipelines.
Working knowledge of NLP techniques embeddings vector search or retrieval-augmented generation (RAG).
Experience integrating LLMs into applications or workflows using APIs and open-source tooling.
Exposure to CI/CD version control testing frameworks and software engineering best practices.
Interest in responsible AI principles model evaluation and risk-aware deployment of LLM-based solutions.
Pay Transparency: In support of pay transparency at Vantor we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors including but not limited to the experience qualifications knowledge skills geographic work location and market conditions. Candidates with the minimum necessary experience qualifications knowledge and skillsets for the position should not expect to receive the upper end of the pay range.
● The base pay for this position within the Washington DC metropolitan area is: $113000.00 - $188000.00 annually.For all other states we use geographic cost of labor as an input to develop market-driven ranges for our roles and as such each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard including a robust 401(k) with company match mental health resources and unique perks like student loan repayment assistance adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply submit your application via Vantor's Career page.
EEO Policy: 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.
Top Skills
What We Do
Vantor is forging the new frontier of spatial intelligence to unlock a more autonomous interoperable world. We empower decision makers and operators with the clarity they need to navigate what’s happening now and shape what’s coming next. Our AI-powered spatial intelligence platform fuses data from the world’s highest-resolution satellites with real-time sensor feeds from space air and ground to create the most accurate living digital replica of Earth.
Why Work With Us
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.
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Date Posted
04/17/2026
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