Data Scientist - Full Time Need

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. S. Citizen. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration.

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 enabletimelyand informed decision-making.

The work directlyimpactsnational securityobjectivesby transforming complex data into actionable intelligence in a highly specialized and sensitive domain. Automate andmaintaindata 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;Support the use of Large Language Models (LLMs) within existing systems and workflows, including: Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.

Assistingwith 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. 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.Strong codingproficiencyinPythonandSQL,with experience writing production-quality, maintainable code; Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting. 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.

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.

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. 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. To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. 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.