2,366 Senior Agronomist Remote Sensing And Data Analysis jobs in Kenya

• Develop and implement methodologies for analyzing satellite imagery, drone data, and other geospatial information for agricultural applications.
• Process and interpret large datasets to identify crop health issues, growth patterns, and environmental factors.
• Utilize remote sensing techniques and software (e.g., ArcGIS, QGIS, ENVI, ERDAS Imagine) to extract meaningful agricultural insights.
• Develop predictive models for crop yield forecasting, disease detection, and resource management.
• Collaborate with agronomists, farmers, and researchers to translate data insights into actionable recommendations for improved farm management.
• Design and manage field data collection protocols to validate remote sensing data.
• Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders.
• Stay abreast of the latest advancements in remote sensing technology, geospatial analysis, and agricultural science.
• Contribute to the development of innovative solutions for precision agriculture.
• Mentor junior team members and share expertise in geospatial data analysis.

• Master's or PhD in Agronomy, Agricultural Science, Geography, Remote Sensing, or a related field.
• Minimum of 5 years of experience in applying remote sensing and GIS techniques to agricultural challenges.
• Proven proficiency in analyzing satellite and aerial imagery (e.g., Sentinel, Landsat, Planet).
• Strong command of geospatial software (ArcGIS, QGIS) and image processing software (ENVI, ERDAS Imagine).
• Experience with statistical analysis and programming languages (e.g., Python, R) for data analysis.
• Solid understanding of agronomic principles and crop physiology.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Experience with machine learning applications in remote sensing is a plus.

• Analyze satellite imagery, drone data, and other remote sensing data to assess crop health, soil conditions, and water stress.
• Utilize GIS software (e.g., ArcGIS, QGIS) for spatial analysis, mapping, and data visualization.
• Develop and implement algorithms for crop classification, yield prediction, and anomaly detection.
• Provide expert agronomic advice based on data analysis, including recommendations for fertilization, irrigation, and pest management.
• Collaborate with farmers, agronomists, and agricultural consultants to interpret data and implement solutions.
• Develop reports and presentations to communicate findings and recommendations clearly and effectively.
• Stay abreast of the latest advancements in remote sensing technology, agronomy, and data science.
• Contribute to the development of new products and services leveraging remote sensing data.
• Manage client relationships and provide ongoing technical support.
• Conduct field research or coordinate with field agents to validate remote sensing data and findings.
• Ensure data accuracy, integrity, and security throughout the analysis process.
• Design and conduct pilot studies for new precision agriculture techniques.
• Troubleshoot technical issues related to data acquisition and processing.

• Master's or Ph.D. in Agronomy, Soil Science, Geography, Remote Sensing, or a related agricultural science field.
• Minimum of 3-5 years of experience in agronomy with a focus on remote sensing and GIS applications.
• Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS software (e.g., ArcGIS, QGIS).
• Strong understanding of crop physiology, soil science, and agricultural practices.
• Experience with programming languages commonly used in data analysis (e.g., Python, R) is highly desirable.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
• Must have a reliable high-speed internet connection and a dedicated, professional remote workspace.
• Passion for sustainable agriculture and technological innovation.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Acquire, process, and analyze remote sensing data (satellite imagery, aerial photography, LiDAR) for agricultural applications.
• Develop and implement algorithms for crop monitoring, yield prediction, soil analysis, and stress detection.
• Utilize GIS software to create thematic maps and spatial analyses for decision support.
• Interpret data to provide expert agronomic recommendations on fertilization, irrigation, pest management, and crop health.
• Collaborate with research teams to validate remote sensing-derived insights and refine analytical models.
• Design and manage field trials to collect ground-truth data for model calibration and validation.
• Communicate complex technical findings and recommendations to farmers, agronomists, and other stakeholders through reports and presentations.
• Stay abreast of the latest advancements in remote sensing, GIS, precision agriculture, and agronomy.
• Contribute to the development of new products and services utilizing remote sensing technologies.
• Mentor junior data scientists and agronomists on the team.

• Master's or Ph.D. in Agronomy, Soil Science, Remote Sensing, Geography, or a related field.
• Minimum of 7 years of experience in applying remote sensing and GIS technologies to agriculture.
• Proven expertise in image processing software (e.g., ERDAS Imagine, ENVI, ArcGIS Pro, QGIS) and statistical analysis software (e.g., R, Python).
• Strong understanding of crop physiology, soil science, and agronomic principles.
• Experience with different satellite platforms and sensor types.
• Excellent data analysis, interpretation, and visualization skills.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-experts.
• Ability to work independently and collaboratively in a remote, fast-paced environment.
• Experience with precision agriculture techniques and variable rate application is a plus.

• Analyze satellite and aerial imagery (e.g., Sentinel, Landsat, Planet) to assess crop health, growth stages, and identify potential issues such as disease, pests, or nutrient deficiencies.
• Utilize GIS software and remote sensing tools (e.g., ArcGIS, QGIS, ERDAS Imagine) for data processing, analysis, and visualization.
• Develop and validate algorithms for deriving agricultural parameters (e.g., NDVI, EVI, LAI) and applying them to large-scale datasets.
• Interpret complex geospatial data to provide precise, actionable recommendations for variable rate application of fertilizers, pesticides, and water.
• Collaborate with farmers and agricultural extension agents to implement data-driven strategies and provide technical support.
• Contribute to the design and execution of field trials to validate remote sensing data and model outputs.
• Research and evaluate new remote sensing technologies and data sources for agricultural applications.
• Develop and maintain databases of agricultural data, including imagery, weather, soil, and yield information.
• Communicate findings and recommendations clearly through reports, presentations, and interactive dashboards.
• Mentor junior agronomists and data analysts on remote sensing techniques and data interpretation.

• Master's degree or Ph.D. in Agronomy, Soil Science, Remote Sensing, Geography, or a related agricultural science field.
• Minimum of 6 years of experience in agricultural remote sensing, geospatial analysis, and agronomy.
• Strong proficiency in GIS software (ArcGIS, QGIS) and remote sensing image processing software.
• Experience with programming languages commonly used in data analysis (e.g., Python, R) is highly beneficial.
• Familiarity with crop modeling and statistical analysis methods.
• Understanding of agricultural production systems and best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey technical information to diverse audiences.
• Ability to work effectively in both a remote and in-office environment.
• Experience with drone data acquisition and processing is a plus.

• Lead research and development projects in Controlled Environment Agriculture (CEA), focusing on greenhouse and vertical farming systems.
• Design and execute experiments to optimize plant growth, yield, and quality for various horticultural crops.
• Investigate and refine hydroponic, aeroponic, and other soilless cultivation techniques.
• Develop and manage nutrient delivery systems and environmental control strategies (lighting, temperature, humidity, CO2).
• Analyze experimental data, interpret results, and develop evidence-based recommendations for growers.
• Troubleshoot production issues and identify innovative solutions for common CEA challenges.
• Collaborate with technology providers and engineering teams to implement and test new equipment and systems.
• Develop comprehensive growing protocols and standard operating procedures for CEA operations.
• Stay updated on the latest scientific advancements and industry trends in horticulture and CEA.
• Prepare research reports, technical publications, and presentations for stakeholders.

• PhD or Master's degree in Horticulture, Plant Science, Agronomy, or a closely related field with a specialization in CEA.
• Minimum of 6 years of research and development experience in horticultural science, with a significant focus on CEA.
• Proven expertise in hydroponics, aeroponics, plant nutrition, and environmental control systems.
• Strong understanding of plant physiology and crop response to environmental factors.
• Excellent analytical and statistical skills, with proficiency in data analysis software.
• Demonstrated ability to design and conduct rigorous scientific experiments.
• Strong written and verbal communication skills.
• Ability to work independently and manage multiple research projects in a remote setting.
• Familiarity with the agricultural sector in Kenya, particularly the potential for CEA in regions like Embu, Embu, KE , is beneficial, though the role is remote.

• Lead and conduct original research in AI applications for environmental science.
• Develop, implement, and validate advanced machine learning models for environmental data analysis (e.g., satellite imagery, sensor data).
• Design and execute experiments to test hypotheses and evaluate the performance of AI algorithms.
• Analyze complex environmental datasets to identify patterns, anomalies, and actionable insights.
• Collaborate with cross-functional teams, including data scientists, engineers, and environmental experts.
• Publish research findings in high-impact scientific journals and present at international conferences.
• Mentor junior researchers and contribute to the development of research proposals.
• Stay abreast of the latest advancements in AI, machine learning, and environmental technologies.
• Contribute to the intellectual property portfolio of the organization.
• Ensure research activities align with ethical standards and project objectives.

• Ph.D. in Computer Science, Artificial Intelligence, Environmental Science, or a closely related field.
• 5+ years of postdoctoral research experience with a strong focus on AI/ML applications.
• Demonstrated expertise in machine learning algorithms (e.g., deep learning, reinforcement learning) and statistical modeling.
• Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
• Experience working with large-scale datasets, including geospatial and time-series data.
• Proven ability to design and conduct independent research and publish in top-tier venues.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, suitable for remote collaboration and publication.
• Demonstrated experience in remote research collaboration and project management.

Company Description

Tezzra Technologies is a leader in digital transformation, delivering customized IT solutions that drive efficiency, enhance security, and unlock growth for businesses. Our expertise spans IT support, cloud solutions, integrations, and AI, ensuring we meet the unique needs of our clients. We are dedicated to providing innovative and reliable solutions in a fast-changing digital world.

Role Description

This is a full-time hybrid role for a System Support Specialist based in Nairobi County, Kenya, with some work-from-home flexibility. The System Support Specialist will be responsible for providing technical support, troubleshooting system issues, performing system administration tasks, and analyzing system performance. Effective communication with team members and clients is essential to ensure prompt resolution of issues and continuous improvement of systems.

Qualifications

• Technical Support and Troubleshooting skills
• System Administration and Analytical Skills
• Excellent Communication skills
• Ability to work independently and in a team
• Experience with cloud solutions and integrations is a plus
• Familiarity with AI and automation technologies is beneficial
• Previous experience with ERP support is added advantage
• Bachelor's degree in Computer Science, Information Technology, or related field

Environment California is seeking a Clean Water Advocate to run campaigns to build public support for solutions that protect our waterways and ensure safe drinking water in California.

As Our Clean Water Advocate, You Will Work To

• Make our waters Safe for Swimming, by preventing sewage overflows and runoff pollution
• Stop PFAS pollution of our waterways
• Build a vibrant network of leaders and organizations who support clean water
• Build powerful coalitions: Reach out to a broad range of organizations and affected constituency groups across the political spectrum to demonstrate support for clean water.
• Organize events: Organize webinars, community events and public meetings. Recruit organizations and members of the public to attend and participate.
• Earn traditional media and social media attention: Organize media events and write opinion pieces. Build a following on social media for your campaign.
• Advocate: Present a compelling case for strong action on clean water to decision-makers through lobbying, testifying at hearings, and producing powerful written materials.
• Fundraise: Write grant proposals, build relationships with foundation staff, and raise money from individual donors, to bring more resources to our campaigns.
• Grow our team: Identify and recruit strong candidates to join our staff and manage interns to maximize the impact of your clean water campaign.

This position requires excellent judgment, discretion and the ability to oversee significant projects.

You Are

• A campaign advocate, campaign staffer or grassroots organizer with at least 3 years of experience team building and/or coalition building.
• An effective communicator with excellent writing and public speaking skills. Experience with traditional media or digital communications is a plus.
• Creative and effective at solving complex problems; a strategic thinker who can take advantage of new opportunities.
• A people person and good listener with a track record of successful access-building; willing and interested in working with people who think differently than you.
• Well-organized and able to work on multiple legislative and administrative proposals at once.
• Demonstrated commitment to environmental and public interest issues and to citizen-based social change.
• A proven ability to recruit, train and develop staff, raise money, and demonstrated success in building relationships with the full spectrum of environmental and political stakeholders.

The starting compensation range for someone with 3-5 years of relevant experience is $40,500-46,000. Candidates on the lower end of directly relevant experience should expect to be on the lower end of this range; candidates on the higher end of relevant experience are likely to be on the higher end of this range. Environment California offers an excellent benefits package. Our benefits package includes medical, dental, and vision insurance for employees and dependents, time off, a commuter benefit program, a 401(k) plan with employer match, parental leave, long term disability insurance, and may include needs-based student loan assistance. We also offer an excellent training program and opportunities for advancement.

Location:
This position could be based in Oakland, Los Angeles or Sacramento, CA.

Why work with Environment California?
Check out 10 reasons:

Our Mission and Values
Environment California and our national partner, Environment America, are part of The Public Interest Network, which operates and supports organizations committed to a shared vision of a better world and a strategic approach to social change. Visit for things you should know about our network when you apply.

Please do not use AI to help draft your cover letter or responses to our application questions. We want to know how you think and write.
Environment California is an equal opportunity employer and will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring.
Environment America has one mission: to protect the natural world.

We advocate ideas and actions to guide our country onto a greener, healthier path. Our network of 30 state environmental groups promotes clean air, clean water, clean energy, wildlife and open spaces, and a livable climate. Our members put grassroots support behind our research, public education, advocacy and litigation.

Nothing is more important to our future than facing this fact: Infinite economic growth on a finite planet is neither wise nor possible. We must shift from deplete to preserve, from disposable to sustainable, from "never enough" to "enough." Together, our staff, members and other supporters are committed to winning changes that allow nature to thrive and our children to live healthier, more enriching lives.

• Lead the design and implementation of data science projects for environmental monitoring and analysis.
• Develop and deploy machine learning models for prediction, classification, and anomaly detection in environmental data.
• Process, clean, and integrate large, diverse environmental datasets from various sources (e.g., satellite imagery, sensor networks, field surveys).
• Design and maintain robust data pipelines for efficient data ingestion, transformation, and storage.
• Visualize complex data patterns and communicate findings effectively through reports, dashboards, and presentations.
• Collaborate with environmental scientists and domain experts to understand data needs and translate scientific questions into data science problems.
• Mentor junior data scientists and foster a culture of innovation and best practices within the team.
• Evaluate and implement new data science tools and technologies relevant to environmental applications.
• Ensure data quality, integrity, and security across all projects.

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Environmental Science with a strong quantitative focus, or a related field.
• 5+ years of experience in data science, with a proven track record of leading complex projects.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with GIS software and spatial data analysis is highly desirable.
• Excellent data visualization skills and experience with tools like Tableau, Power BI, or Matplotlib/Seaborn.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Experience working in a remote or distributed team environment.
• A passion for environmental issues and conservation is essential.