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NauWork | Data Scientist [Perception / LiDAR] | Portland, OR | United States | BigDataKB.com | 2023/01/18

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Job Location: Portland, OR

Job Detail:

A NauWork client is seeking Data Scientist [Perception] candidates interested in joining their Portland, Oregon team. The Data Scientist will work with their Perception/Computer Vision team researching, developing, and optimizing the world’s fastest flash LiDAR for ground robotics, air robotics, and industrial applications.


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  • Analyze flash LiDAR data to quantify metrics, such as accuracy, noise, and sensitivity to temperature;
  • Design and conduct numerical studies to quantify and validate sensor metric data;
  • Present results from numerical studies to appropriate company personnel.
  • Collaborate with Perception/Computer Vision team members and other teams, as projects and deliverables require.
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Required Experience

  • Strong Python aptitude and experience
  • C++ experience
  • Familiarity with data visualization and visualization tools, e.g. Matplotlib
  • Source control experience, e.g. Git
  • Mathematics and statistics experience
  • Experience with statistical modeling
  • Experience working with large data sets

Prefeerred Experience

  • Masters in mathematics, statistics, or an equivalent course of study and/or mix of relevant education and experience
  • 3 years or more relevant professional experience
  • Experience working with perception data, preferably 3D data
  • Familiarity with transforms, quaternions, etc.
  • Familiarity with optics concepts, e.g. lens distortion, pinhole camera projection, etc.
  • Real-time computing experience
  • Experience with CI/CD driven development
  • Experience annotating and creating datasets for AI models


  • PDX: 503-388-9585
  • Main: 833-NAU-WORK
  • Email: [email protected]
  • Web: https://nauwork.com
  • Jobs: https://nauwork.com/careers

Category: Data & Artificial Intelligence – Data Scientist

Position: Data Scientist [Perception]

Location: Hybrid Position in Portland, Oregon

Job Type: Direct-Hire, Full-Time

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