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Vantor

AI-powered multi-source geospatial intelligence platform

Junior Data Scientist

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

About the Job

Requirements

  • A bachelor's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or another related discipline; four additional years of experience may substitute for a bachelor's degree, and a master's degree may count as two years of experience.
  • Working knowledge of one or more scripting programming languages, such as Python, and libraries such as pandas, NumPy, scikit-learn, Matplotlib, and SciPy.
  • Experience processing, cleaning, or analyzing time-series and/or geospatial data.
  • Familiarity with machine-learning techniques used with time-series and/or geospatial data.
  • A strong statistical background in statistical testing, regression, and probability.
  • Strong verbal and written communication skills.
  • Familiarity with database or data-file systems such as PostgreSQL and HDFS.
  • Ability to obtain CBP/DHS suitability.
  • Must be a U.S. citizen.
  • Must be willing to work remotely or at a nearby Vantor facility and be comfortable communicating via video calls.

Responsibilities

  • Assist 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 activities, including data cleansing, validation, and other Extract, Transform, Load (ETL) functions.
  • Derive and produce analytic reports and presentations for internal and external stakeholders.
  • Identify and implement data visualization for analysis, presentation, and end-user user-interface needs.
  • Perform feature engineering, classifier optimization, event forecasting, and anomaly detection.
  • Interface with external stakeholders to decompose data science mission needs.
  • Produce documentation of 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 (APIs), 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

  • Current Top Secret security clearance and/or CBP/DHS suitability.
  • Ability to understand and integrate new machine-learning algorithms and technologies.
  • Working knowledge of agile software development practices and tools such as Jira, Confluence, and Git.
  • Professional experience working with spatiotemporal data.
  • Understanding of scoring and measuring algorithm performance.
  • Experience visualizing multi-source, multidimensional data and analytic results.
  • Experience conducting model-feasibility research and algorithm development for machine learning.
  • Experience with a wide breadth of machine-learning algorithms and approaches.
  • Current knowledge of industry trends and ability to articulate trends and their potential.
  • Experience with deep-learning technologies such as PyTorch, Keras, and TensorFlow.

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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