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Vantor

AI-powered multi-source geospatial intelligence platform

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Must be a U.S. citizen.
  • Must hold a current Top Secret security clearance and/or CBP/DHS suitability.
  • Have good working knowledge of Python and libraries such as pandas, NumPy, scikit-learn, Matplotlib, and SciPy.
  • Have experience processing, cleaning, and analyzing time-series and/or geospatial data.
  • Have a strong statistical background in areas such as statistical testing, regression, and probability.
  • Have at least 3 years of professional experience applying machine-learning techniques to time-series and/or geospatial data.
  • Have at least 3 years of professional experience with databases or data file systems such as PostgreSQL and HDFS.
  • Have at least 3 years of professional experience with version control systems such as Git.
  • Have at least 3 years of professional experience with time-series event forecasting.
  • Be able to understand and integrate new machine-learning algorithms and technologies.
  • Have a bachelor's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or a related discipline, plus at least 5 years of industry experience in data science.
  • Have experience scoring and measuring algorithm performance.
  • Have experience visualizing multi-source, multidimensional data and analytic results in real time and for presentations.
  • Have experience conducting model feasibility research and algorithm development for machine learning.
  • Be able to multitask, prioritize, and manage time efficiently.
  • Have broad experience with machine-learning algorithms and approaches.
  • Maintain current knowledge of industry trends and be able to clearly and confidently articulate trends and their potential.
  • Have experience working on teams following development methodologies such as Agile Scrum or Kanban.

Responsibilities

  • Lead the team in designing analytic solutions that meet customer needs.
  • Enhance existing analytic solutions to ensure quality and performance.
  • Integrate data from multiple sources to create a common operating picture.
  • Select and implement appropriate statistical analyses and scoring metrics to evaluate the performance of existing algorithms.
  • Create training and test datasets from multiple sources to enhance existing algorithms.
  • Perform data processing, including data cleansing, validation, and other extract, transform, and load functions.
  • Produce analytic reports and presentations for internal and external stakeholders.
  • Identify and implement data visualizations for analysis, presentations, and end-user interface needs.
  • Perform feature engineering, classifier optimization, event forecasting, and anomaly detection.
  • Work with external stakeholders to decompose data science mission needs.
  • Document data science processes, results, and approaches.
  • Select and implement industry machine-learning algorithms to enhance or compete with existing algorithms.
  • Contribute to research, development, and sustainment of mission-focused software applications, backend services, application programming interfaces, data-processing workflows, and analytical capabilities.
  • Create or refine software applications, maintain and enhance existing custom applications, troubleshoot defects, improve performance, contribute to code reviews and technical documentation, and help deliver reliable capabilities.

Desired Qualifications

  • Have a master's degree.
  • Have experience with deep-learning technologies such as PyTorch, Keras, and TensorFlow.
  • Have experience with radar data.
  • Have experience with data correlation.

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

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