Geospatial Data Scientist -- R&D

About Satelytics

Satelytics is a leading technology company specializing in AI-powered satellite and aerial imagery analytics. We leverage cutting-edge remote sensing technology to provide actionable insights for our clients across energy, infrastructure, and environmental sectors. Our innovative solutions help organizations make data-driven decisions and protect critical assets.

Overview

We are seeking a Geospatial Data Scientist with expertise in remote sensing to join our Research and Development Team in Perrysburg, Ohio. This role offers an opportunity to leverage geospatial data analysis and remote sensing techniques to solve real-world challenges while working with a collaborative team of experts.

Apply Now
Benefits

Technical Environment

Our team works with state-of-the-art computing resources and data processing infrastructure. You'll have access to:

  • High-performance computing capabilities.
  • Advanced geospatial and image processing software.
  • Cloud-based collaboration tools.
  • Extensive geospatial and satellite imagery databases

Career Growth

This position offers clear pathways for advancement into senior scientific roles, team leadership positions, and specialized technical expertise development. We support our team members' professional growth through mentorship, training, and hands-on experience with cutting-edge technology.

Company Culture

Satelytics fosters an environment of innovation, collaboration, and continuous learning. Our team members are encouraged to think creatively, share ideas openly, and contribute to our collective success. We maintain a supportive atmosphere where constructive feedback is valued and professional growth is prioritized.

Satelytics is an equal opportunity employer committed to building a diverse and inclusive workforce. We encourage applications from candidates of all backgrounds and experiences.

Location: Perrysburg, Ohio (on-site position)

Core Hours: Monday through Friday, 8:30 AM – 5:00 PM ET (on-site)

Job Duties

Primary Responsibilities

  • Develop, test, and implement new geospatial algorithms and workflows, with a focus on remote sensing applications.
  • Analyze and interpret various types of geospatial data, including satellite imagery, LiDAR, and vector data.
  • Apply machine learning and statistical techniques to extract insights from geospatial datasets.
  • Collaborate with the Professional Services team to define project objectives and train team members.
  • Work with the Technical team to integrate algorithms and processes into our cloud platform.
  • Provide expert guidance and support for company-wide geospatial and remote sensing initiatives.
  • Participate in client meetings as a technical expert.
  • Analyze and incorporate feedback from stakeholders to optimize workflows and deliverables.
  • Lead/Collaborate on research initiatives in specialized geospatial applications.
  • Contribute to technical documentation and knowledge sharing

Requirements

Required Qualifications

  • Bachelor's degree in Geospatial Science, Data Science, Remote Sensing, Geography, Geology, Computer Science, or related field.
  • 2-4 years of experience in geospatial data analysis and remote sensing applications.
  • Strong programming skills in Python, R, or similar languages.
  • Proficiency in GIS software and spatial analysis techniques.
  • Experience with image processing and analysis of satellite imagery.
  • Familiarity with machine learning applications in geospatial contexts.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities

Preferred Qualifications

  • Master's degree in a related field.
  • Familiarity with big data technologies and cloud computing platforms.
  • Experience with multiple satellite platforms (e.g., Sentinel-2, Landsat, WorldView).
  • Knowledge of various imagery types (multispectral, hyperspectral, SAR).
  • Experience with remote sensing software (e.g., ENVI, ERDAS IMAGINE).
  • Proficiency in data visualization and cartography.
  • Publication record or conference presentations in related fields

Skills

The Ideal Candidate Will:

  • Demonstrate creativity in solving complex geospatial problems.
  • Think beyond conventional approaches in data analysis.
  • Adapt well to constructive feedback.
  • Contribute to a collaborative team environment.
  • Show enthusiasm for pushing technical boundaries in geospatial science.
  • Maintain a growth mindset and stay current with emerging trends in the field.

Apply Now