Data Scientist (TS/SCI)

Vantor•Herndon, VA

2d•$116,000 - $169,400•Onsite

About The Position

Vantor is seeking a Data Scientist to join a cross-functional, highly technical team focused on designing, developing, validating, and demonstrating an integrated analytical capability. This capability will support pattern recognition, anomaly detection, predictive analytics, agent-based modeling, and decision support within a Ubiquitous Technical Surveillance (UTS) environment. The goal is to enhance Joint Force survivability by improving the characterization of the UTS threat and providing a mission-agnostic risk-management tool. The enterprise will leverage this analysis to increase isolated personnel (IP) survivability through enhanced evasion training, planning, and execution, while also bolstering force protection for PR task forces. The Data Scientist will play a crucial role in developing accurate, scalable, and mission-tailored data solutions that enable timely and informed decision-making, directly impacting national security objectives by transforming complex data into actionable intelligence in a highly specialized and sensitive domain. A strong mission focus is essential, and experience with the Personnel Recovery mission is a plus.

Requirements

US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly.
6 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 4 years of experience.
Strong coding proficiency in Python and SQL.
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.
Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.
Must be able to work on-site in Herndon, Va, as required.

Nice To Haves

Master’s degree in data science, computer science, statistics, engineering, or a related technical field.
A strong background in statistics and graph analytics.
Experience with the Personnel Recovery mission is a plus.

Responsibilities

Data preparation
Feature engineering
Statistical modeling
Predictive analytics
Deep learning
Time-series analysis
Model validation
Explainable AI
Performance benchmarking
Technical documentation
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.
Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.