V

Vantor

AI-powered multi-source geospatial intelligence platform

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Must be a U.S. citizen with an active TS/SCI clearance and willingness to obtain a CI polygraph.
  • Bachelor's degree in data science, computer science, statistics, applied mathematics, or a related quantitative discipline, with at least 8 years of total professional experience in a technical support role.
  • Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline.
  • Strong proficiency in Python, SQL, and Elastic, with experience using Elasticsearch and analytical computing libraries including Pandas, NumPy, SciPy, and Scikit-learn.
  • Demonstrated experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets.
  • Willingness to work onsite at least 90% of the time, or as needs dictate, in either Herndon, Virginia, or Westminster, Colorado.

Responsibilities

  • Design, develop, implement, and evaluate statistical models, machine learning algorithms, and predictive analytics solutions to address complex analytical and mission requirements.
  • Analyze large, complex, and diverse datasets to identify patterns, trends, relationships, anomalies, and actionable insights using appropriate statistical and computational techniques.
  • Develop, train, validate, and optimize machine learning models, and assess their performance, accuracy, scalability, and operational suitability.
  • Collaborate with data engineers and software developers to operationalize analytical models and integrate data science capabilities into the broader analytics platform.
  • Translate mission and business requirements into analytical approaches, and communicate findings, methodologies, and recommendations to technical teams, government stakeholders, and senior leadership.

Desired Qualifications

  • Experience with advanced machine learning techniques, such as deep learning, natural language processing, large language models, anomaly detection, classification, or clustering.
  • Experience with big data technologies and distributed computing frameworks, such as Apache Spark, Hadoop, or Kafka.
  • Experience with machine learning frameworks, such as TensorFlow, PyTorch, or XGBoost.
  • Experience with cloud-based analytics and machine learning services, such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience with MLOps, including model deployment, monitoring, experimentation, and lifecycle management.
  • Experience with data visualization and reporting tools, such as Tableau, Kibana, Power BI, or Plotly.
  • Experience with geospatial, graph, or time-series analytics.
  • Experience with responsible AI, explainable AI, model governance, and evaluating model bias, robustness, or reliability.
  • Experience in government, defense, intelligence, or other regulated environments.

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