Remote Sensing Data Analyst - Aviation Surveillance

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Home office stipend

Annual dev budget for training/confer

Job summary

Placements24 is seeking a Remote Sensing Data Analyst to join a remote-first geospatial intelligence team focused on aviation analytics. You will analyze satellite, aerial, and drone imagery to monitor airports and airspace, applying ML techniques to extract insights and produce reports.

The role demands a strong foundation in remote sensing, data science, and excellent communication for collaboration across global clients. Remote work is supported with flexible scheduling.

Qualifications

• Master's or PhD in Remote Sensing, Geospatial Science, Data Science, Computer Science, or related field.
• Minimum 5 years of remote sensing data analysis experience with aviation applications or surveillance.
• Proficiency in Python or R for data analysis.
• Experience with remote sensing software and libraries (ArcGIS, ENVI, GDAL, Rasterio, TensorFlow, PyTorch).
• Strong image processing, spectral analysis, and ML algorithm skills.
• Familiarity with aviation data sources (ADS-B, flight tracking) is a plus.

Responsibilities

• Acquire, process, and analyze large remote sensing datasets (satellite, aerial, drone) for aviation targets.
• Develop algorithms for object detection, feature extraction, and change detection in imagery of airports, aircraft, and airspace.
• Apply ML/AI techniques to improve analysis accuracy and automate workflows.
• Integrate remote sensing data with GIS, AIS, ADS-B for comprehensive analysis.
• Produce clear reports, visualizations, and presentations for technical and non-technical audiences.
• Collaborate with software and research teams to implement new methods and tools.
• Maintain data quality and integrity throughout the analysis pipeline.
• Stay updated with remote sensing tech and aviation industry trends.
• Manage multiple projects with strict deadlines.
• Contribute to new methodologies and IP.

Skills

Python

R

Geospatial analysis

Machine learning

Remote sensing

GIS

TensorFlow

PyTorch

ArcGIS

ENVI

GDAL

Rasterio

Education

Master's or PhD in Remote Sensing/Geospatial/Data Science

Tools

ArcGIS

ENVI

GDAL

Rasterio

TensorFlow

PyTorch

Job description

About the Role

Our client, a cutting-edge geospatial intelligence company specializing in aviation analytics, is seeking a highly skilled Remote Sensing Data Analyst to join their fully remote team. This role focuses on analyzing satellite imagery, aerial photography, and other remote sensing data to monitor aviation infrastructure, track aircraft movements, and assess operational patterns for various clients worldwide. You will leverage advanced algorithms and machine learning techniques to extract actionable insights and provide comprehensive reports. This is a remote-first position, allowing you to work from anywhere, requiring strong self-discipline and excellent communication skills. The ideal candidate possesses a strong background in remote sensing, data science, and a keen interest in the aviation sector. This opportunity offers the chance to work on global projects without geographical constraints, contributing significantly to a forward-thinking company.

Key Responsibilities

• Acquire, process, and analyze large datasets from various remote sensing platforms (satellite, aerial, drone) focusing on aviation-related targets.
• Develop and apply algorithms for object detection, feature extraction, and change detection in imagery, specifically related to airports, aircraft, and airspace activity.
• Utilize machine learning and AI techniques to improve analysis accuracy and automate workflows.
• Integrate remote sensing data with other geospatial datasets (e.g., GIS, AIS, ADS-B) for comprehensive analysis.
• Interpret analytical results and generate clear, concise reports, visualizations, and presentations for technical and non-technical audiences.
• Collaborate with software development and research teams to implement new analytical methods and tools.
• Maintain data quality and integrity throughout the analysis pipeline.
• Stay current with advancements in remote sensing technologies, data analysis techniques, and the aviation industry.
• Manage multiple projects simultaneously and meet strict deadlines.
• Contribute to the development of new methodologies and intellectual property.

Requirements

• Master's or PhD degree in Remote Sensing, Geospatial Science, Data Science, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in remote sensing data analysis, with a demonstrated focus on aviation applications or surveillance.
• Proficiency in programming languages commonly used in data analysis, such as Python or R.
• Experience with remote sensing software and libraries (e.g., ArcGIS, ENVI, GDAL, Rasterio, TensorFlow, PyTorch).
• Strong understanding of image processing techniques, spectral analysis, and machine learning algorithms.
• Experience with processing and analyzing satellite and aerial imagery.
• Familiarity with aviation data sources (e.g., ADS-B, flight tracking data) is a significant advantage.
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding written and verbal communication skills, essential for remote collaboration.
• Proven ability to work independently and manage projects effectively in a remote setting.

Benefits

• Highly competitive salary commensurate with experience and remote work.
• Comprehensive health, dental, and vision insurance coverage.
• Generous retirement savings plan with employer matching.
• Unlimited paid time off policy.
• Annual budget for professional development, conferences, and training.
• Home office setup stipend.
• Opportunity to work on impactful global projects from anywhere.
• Be part of an innovative and technology-driven company culture.