Data Scientist (TS/SCI with CI Poly)

Vantor Holdings, Inc.

Virginia (MN)

In loco

USD 110.000 - 170.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Vantor Holdings, Inc. is seeking a data scientist/data engineer with an active TS/SCI clearance to automate data workflows, build predictive models, and integrate LLM-enabled tools. You will work with cross‑functional teams to deliver mission-focused analytics and robust data infrastructure.

The role requires US citizenship, security clearance eligibility, and 5+ years of relevant experience. Expect collaboration across data science, engineering, and mission partners in a fast-paced environment.

Competenze

  • Active TS/SCI clearance with CI polygraph required.
  • 5 years of professional experience in data science, analytics, or data engineering.
  • Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline (or 2 more years of experience).
  • Strong coding proficiency in Python

Mansioni

  • Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools.
  • Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (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 with guidance from senior team members.
  • Write clear documentation of methods, assumptions, and results; assist with briefings to stakeholders.
  • Support use of LLMs within existing systems and workflows, including summarization, tagging, and information retrieval.
  • Collaborate with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.

Conoscenze

Python
Data analysis
Communication

Formazione

Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline

Strumenti

Spark
Hadoop
Cloud platforms

Descrizione del lavoro

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.

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
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