2,009 Geospatial Analysis jobs in Kenya
Geological Remote Sensing Analyst
Posted 4 days ago
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Senior Agricultural Data Analyst - Remote Sensing
Posted today
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Remote Sensing Geologist
Posted 2 days ago
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Key Responsibilities:
- Acquire, process, and analyze satellite and aerial imagery for geological interpretation.
- Utilize advanced remote sensing software (e.g., ENVI, ERDAS Imagine, QGIS) for data manipulation and feature extraction.
- Integrate remote sensing data with other geological and geophysical datasets (e.g., aeromagnetic, gravity, geochemical data).
- Develop predictive models for mineral prospectivity using machine learning algorithms and statistical approaches.
- Generate detailed geological maps, cross-sections, and prospectivity maps for exploration teams.
- Prepare comprehensive technical reports and presentations summarizing findings and recommendations.
- Collaborate closely with field geologists and exploration managers to ground-truth remote sensing interpretations.
- Stay updated on the latest trends and technologies in remote sensing and its applications in mineral exploration.
The ideal candidate will possess a Master's or Ph.D. in Geology, Geophysics, or a related Earth Science discipline, with a specialization in remote sensing. A minimum of 6 years of relevant experience in mineral exploration using remote sensing techniques is required. Proficiency in scripting languages (e.g., Python) for data automation and analysis is highly desirable. Excellent analytical and problem-solving skills, coupled with strong written and verbal communication abilities, are essential. The ability to work independently, manage project timelines effectively, and thrive in a remote, collaborative environment is paramount.
This is an excellent opportunity to apply cutting-edge technology in mineral exploration and contribute significantly to our client's growth, all while enjoying the benefits of a fully remote role. Join us in uncovering the earth's hidden resources.
Location: This position is fully remote, with a strategic focus on supporting exploration efforts in the vicinity of **Naivasha, Nakuru, KE**.
Senior Geologist - Remote Sensing
Posted 2 days ago
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- Acquiring, processing, and analyzing satellite and aerial imagery for geological mapping.
- Identifying mineral exploration targets using remote sensing and GIS techniques.
- Interpreting geological structures and lithology from spectral data.
- Integrating remote sensing data with geophysical and geochemical datasets.
- Developing predictive geological models based on spatial data.
- Preparing detailed technical reports and presentations for exploration projects.
- Collaborating with exploration teams to plan and execute exploration strategies.
- Mentoring junior geologists and data analysts.
- Staying current with advancements in remote sensing technology and geological software.
- Ensuring data quality and integrity throughout the analysis process.
- Master's degree or Ph.D. in Geology, Earth Sciences, or a related field with a specialization in Remote Sensing or Geophysics.
- Minimum of 8 years of experience in geological exploration, with a strong focus on remote sensing applications.
- Extensive experience with GIS software (e.g., ArcGIS) and remote sensing image processing software (e.g., ERDAS Imagine, ENVI).
- Proficiency in handling and interpreting various types of satellite data (e.g., Sentinel, Landsat, ASTER).
- Strong understanding of geological principles and mineral exploration techniques.
- Excellent analytical and problem-solving skills.
- Proven ability to work independently and manage projects in a remote setting.
Lead Agronomist - Remote Sensing Specialist
Posted today
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Key Responsibilities:
- Lead the development and application of remote sensing technologies for agricultural monitoring and analysis.
- Process, analyze, and interpret satellite imagery, aerial photography, and drone data for crop health assessment, soil mapping, and environmental monitoring.
- Develop and validate agronomic models to predict crop performance, optimize resource management, and identify potential risks.
- Collaborate with cross-functional teams to integrate remote sensing data into broader agricultural management systems.
- Manage and mentor a team of agronomists and data specialists, providing technical guidance and support.
- Conduct field research and validation studies to ensure the accuracy and reliability of remote sensing outputs.
- Prepare technical reports, presentations, and recommendations for clients and stakeholders.
- Contribute to the company's research and development efforts in agricultural technology.
- Stay updated on the latest advancements in agronomy, remote sensing, and agricultural data analytics.
- Ensure the quality and integrity of all data processed and analyzed.
- Master's or Ph.D. in Agronomy, Crop Science, Soil Science, Remote Sensing, or a closely related field.
- Minimum of 7 years of experience in agronomy, with a significant focus on remote sensing applications in agriculture.
- Expertise in GIS software (e.g., ArcGIS, QGIS), remote sensing platforms (e.g., Google Earth Engine, ENVI), and image processing techniques.
- Strong understanding of crop physiology, soil science, and plant pathology.
- Proficiency in statistical analysis and programming languages (e.g., R, Python) is highly desirable.
- Proven leadership and team management skills.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong written and verbal communication skills, with the ability to present technical information effectively.
- Ability to work independently and manage projects in a remote setting.
- Experience with precision agriculture techniques is a plus.
Senior Geologist - Remote Sensing Specialist
Posted 1 day ago
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Responsibilities:
- Acquire, process, and analyze satellite and aerial imagery for geological mapping and mineral exploration.
- Develop and optimize remote sensing data processing pipelines using industry-standard software.
- Interpret multispectral, hyperspectral, and thermal imagery to identify geological formations and alteration zones.
- Utilize radar and LiDAR data for topographic analysis and structural mapping.
- Integrate remote sensing data with other geological datasets (e.g., geophysical surveys, drilling data).
- Generate high-quality geological maps, cross-sections, and 3D models.
- Prepare comprehensive technical reports and presentations for clients and stakeholders.
- Contribute to project planning, methodology development, and quality control.
- Mentor junior geologists and remote sensing analysts.
- Stay abreast of advancements in remote sensing technology and geological applications.
- MSc or PhD in Geology, Earth Science, or a related field with a specialization in remote sensing.
- Minimum of 7 years of experience in geological applications of remote sensing.
- Proficiency in remote sensing software such as ENVI, ERDAS Imagine, PCI Geomatica, or similar.
- Strong skills in GIS software (e.g., ArcGIS, QGIS) for data management and analysis.
- Experience with programming languages like Python or R for data analysis is a plus.
- Demonstrated understanding of geological principles and mineral systems.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with airborne or satellite sensor data acquisition is advantageous.
Senior Geologist (Remote Sensing Specialist)
Posted 2 days ago
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Senior Geologist - Remote Sensing Specialist
Posted 4 days ago
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Key responsibilities include processing and interpreting multispectral and hyperspectral data, utilizing GIS software for spatial analysis and data integration, and developing predictive geological models. You will work closely with our field exploration teams, providing them with data-driven insights and recommendations for ground-truthing. This position demands meticulous attention to detail, strong problem-solving capabilities, and the ability to communicate complex geological information effectively to both technical and non-technical stakeholders through virtual presentations and detailed reports. You will also contribute to research and development initiatives, staying abreast of the latest advancements in remote sensing technology and geological software. The successful candidate will have a Master's degree or Ph.D. in Geology or a related field, with a minimum of 8 years of relevant experience, specifically in applying remote sensing techniques to mineral exploration. Proven proficiency in software such as ENVI, ERDAS Imagine, ArcGIS, and QGIS is essential. Experience with machine learning algorithms for geological data analysis is highly desirable. This role is fully remote, offering unparalleled flexibility and the opportunity to contribute to significant geological projects without geographical constraints. If you are a visionary geologist eager to push the boundaries of exploration through cutting-edge technology, we encourage you to apply.
Senior Data Scientist - Remote Sensing Specialist
Posted today
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Responsibilities:
- Develop, implement, and validate advanced machine learning algorithms for analyzing large-scale remote sensing data, including hyperspectral, multispectral, and SAR data.
- Process and analyze satellite imagery (e.g., Landsat, Sentinel, MODIS) and aerial data for applications in environmental monitoring, climate change studies, agriculture, and urban planning.
- Design and execute statistical analyses to identify patterns, trends, and anomalies in geospatial datasets.
- Create robust data pipelines for efficient data ingestion, cleaning, transformation, and management.
- Develop and deploy predictive models to forecast environmental changes, crop yields, or resource availability.
- Visualize complex geospatial data and model results using tools like QGIS, ArcGIS, Python libraries (e.g., Matplotlib, Seaborn, Folium), or specialized visualization platforms.
- Collaborate with research scientists and domain experts to understand project requirements and translate them into data science solutions.
- Stay abreast of the latest advancements in remote sensing technologies, machine learning, and artificial intelligence.
- Document methodologies, code, and findings thoroughly for reproducibility and knowledge sharing.
- Present research findings and insights to both technical and non-technical audiences through reports and presentations.
- Contribute to the development of research proposals and grant applications.
- Mentor junior data scientists and researchers on best practices in data analysis and remote sensing.
- Ph.D. or Master's degree in Data Science, Computer Science, Geosciences, Environmental Science, or a related quantitative field with a focus on remote sensing.
- 5+ years of hands-on experience in data science, with a significant focus on remote sensing data analysis.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, GDAL, Rasterio, Xarray) and R.
- Experience with geospatial analysis software (e.g., QGIS, ArcGIS) and cloud platforms (AWS, GCP, Azure) for data processing.
- Strong understanding of machine learning concepts, statistical modeling, and data mining techniques.
- Familiarity with various remote sensing data types and processing techniques.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Proven ability to manage multiple projects and meet deadlines.
- Experience with big data technologies and distributed computing frameworks (e.g., Spark) is a plus.
- Publications in peer-reviewed journals or presentations at scientific conferences are highly desirable.
Senior Agronomist (Remote Sensing & Data Analytics)
Posted today
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Responsibilities:
- Utilize satellite imagery, drone data, and other remote sensing technologies to monitor crop health, growth, and environmental conditions.
- Develop and apply data analytics techniques to interpret remote sensing data and generate actionable insights for farmers and agricultural stakeholders.
- Create and manage spatial databases and geographic information systems (GIS) for agricultural applications.
- Develop predictive models for crop yield, disease outbreaks, and pest infestations.
- Provide expert agronomic advice based on data analysis, including irrigation scheduling, fertilization recommendations, and pest/disease management strategies.
- Collaborate with agricultural researchers, farmers, and technology providers to test and refine new tools and techniques.
- Contribute to the development of precision agriculture solutions and platforms.
- Prepare technical reports, presentations, and training materials for various audiences.
- Stay abreast of the latest advancements in remote sensing, GIS, data science, and agronomy.
- Ensure the responsible and ethical use of agricultural data.
Qualifications:
- Master's degree or Ph.D. in Agronomy, Crop Science, Agriculture, Geography, or a related field with a strong focus on data analytics and remote sensing.
- Minimum of 5 years of experience in agronomy, with specialized knowledge in remote sensing applications and data analysis in agriculture.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., Google Earth Engine, ENVI).
- Experience with data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, SciPy) and R.
- Familiarity with statistical modeling and machine learning techniques for agricultural data.
- Strong understanding of crop physiology, soil science, and plant pathology.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, essential for remote work.
- Ability to translate complex data into practical, actionable advice.