V

Vantor

AI-powered multi-source geospatial intelligence platform

Mid-Level Data Scientist

Data EngineeringConfirmed live in the last 24 hours
Full-timeReston, VA, USA$116k - $154k /yr

About the Job

Requirements

  • Current and active TS/SCI security clearance, and willingness and ability to obtain a CI polygraph.
  • Five years of professional experience in data science, analytics, or data engineering roles.
  • A bachelor's degree in data science, computer science, engineering, statistics, GIS, or a related discipline; an additional two years of experience may substitute for the degree.
  • Proficiency in Python and SQL; experience with SQL and relational databases.
  • Experience with data-wrangling libraries such as pandas or PySpark, and with APIs or batch-processing tools.
  • Understanding of data modeling, metadata management, and data governance principles.
  • Proficiency with Tableau or similar dashboard tools.
  • Exposure to cloud platforms such as AWS, Azure, or GCP, especially data-related services.
  • Strong attention to detail and documentation practices.

Responsibilities

  • Collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis.
  • Automate ETL workflows and streamline repetitive data-preparation tasks using Python, SQL, and scripting tools.
  • Operate in big-data ecosystems using tools such as Spark, Hadoop, or cloud-native equivalents such as AWS Glue, Azure Synapse, and Databricks.
  • Assist in developing and deploying data pipelines in collaboration with data engineering and DevOps teams.
  • Implement basic statistical analyses, visualizations, and reporting to support exploratory data analysis and hypothesis validation.
  • Maintain detailed documentation of data-preparation methods, scripts, and pipeline configurations.
  • Support integration of data into downstream modeling and LLM/NLP workflows.
  • Contribute to operationalizing data products, APIs, and internal data-access tools.
  • Build and maintain dashboards using Tableau or similar software.
  • Gain exposure to knowledge-management systems supported by LLMs and assist in tagging or curating training datasets for LLM models.

Desired Qualifications

  • A master's degree in a technical field such as data science, computer science, or engineering.
  • Experience using Clairvoyant or similar orchestration platforms to manage and monitor data pipelines.
  • Familiarity with container-orchestration tools such as Docker, Rancher, or Kubernetes.
  • Basic knowledge of LLM and NLP concepts, including using pretrained models for tasks such as summarization or keyword extraction.
  • Basic familiarity with GIS tools and data.
  • Experience with graph data-science algorithms and graph analytics.
  • Knowledge of enterprise architecture, metadata standards, or master data management.
  • Experience working in agile teams or cross-functional technical environments.
  • Understanding of responsible AI practices and basic data ethics.

About the Company

Vantor

AI-powered multi-source geospatial intelligence platform

Vantor provides an AI-powered spatial intelligence platform that creates a real-time, unified picture from space, air, and ground sensors. Its Tensorglobe data engine fuses satellite imagery, drone feeds, and ground sensors to build a living 3D digital Earth and automates the entire intelligence cycle from tasking to analysis. Key products include WorldView for high-resolution imagery tasking, Raptor for GPS-denied navigation, and Sentry for automated site monitoring. Unlike competitors that mainly sell raw imagery, Vantor offers an integrated, subscription-based geospatial workflow and digital twin as a service, helping defense, intelligence, and commercial customers make faster, more informed decisions through a shared AI-ready view of the world.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Juan, Puerto Rico
Founded
1957

Recently Posted Jobs

Explore more opportunities at Vantor

See more jobs