Data Scientist
Posted on 9/12/2023
Orbital Insight

51-200 employees

AI-powered geospatial analytics for global insights
Company Overview
Orbital Insight stands out as a leading geospatial analytics company, leveraging AI to provide comprehensive insights on global events, supply chains, and demographics using diverse data sources such as satellite imagery and IoT data. Their proprietary platform, Orbital Insight GO, simplifies the use of location data, automating complex steps to deliver valuable insights. This technical prowess, combined with their industry leadership in location intelligence, makes Orbital Insight a compelling workplace for those seeking to shape the future of geospatial analytics.
AI & Machine Learning
Data & Analytics

Company Stage

Series E

Total Funding





Palo Alto, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Palo Alto, CA, USA • Washington, DC, USA • New York, NY, USA
Experience Level
Desired Skills
Computer Vision
Data Science
Data Structures & Algorithms
AI & Machine Learning
Data & Analytics
  • Motivated and passionate about solving data science problems and pushing the boundaries of what is possible today
  • Enjoys thinking out-of-the-box to develop innovative and creative solutions
  • An exceptional communicator, capable of conveying complex technical ideas and information in readily-understandable ways to a wide audience
  • Proactively diligent, and you operate with conviction, yet you recognize when you're wrong and easily move past your own mistakes
  • Comfortable working in a fast-paced environment where problems can be under-defined and ambiguous--you are capable of bringing clarity and delivering innovative solutions
  • Active TS Clearance is not required but a huge plus
  • BS degree in a STEM field (e.g. statistics, mathematics, machine learning, computer science, physics, engineering, etc.)
  • MS or PhD preferred
  • 5+ years of industry experience in data science
  • Experience in applying machine learning techniques, especially unsupervised learning methods, to geospatial data
  • 3+ years experience coding machine learning models in Python that live in production systems
  • Experience with time series modeling, anomaly detection, and statistical inference
  • Experience with computer vision and familiarity with frameworks like Pytorch a big plus
  • Ability to work both independently and collaboratively in a fast-paced environment
  • Prior experience with Agile development methodologies
  • Build high-performing and scalable machine learning models
  • Work on all stages of model development life cycle from defining data requirements to deploying final models as part of the product
  • Rapidly iterate algorithms to improve performance and generalization to new data
  • Collaborate with stakeholders and end-user product owners to understand data science needs
  • Stay current on the latest machine learning research by reviewing papers and implementing state-of-the-art concepts
  • Effectively communicate results and ideas via presentations and technical reports