Job Description
Position:Agricultural Drone Data Analyst
Company:Bayer Zambia
Location:Nchelenge, Zambia
Experience:3-5 years
Education:Bachelor’s degree in Data Science, Agriculture, Computer Science or related field
Employment Type:Full-time
Industry:Artificial Intelligence
Department:Data & Analytics
Salary:SSP 150,000 – SSP 250,000 per month
Vacancies:1
Company Overview
Bayer Zambia is a leading global life‑science company with a strong presence in the Zambian agricultural sector. Leveraging cutting‑edge research and innovative technologies, Bayer supports local farmers to increase productivity, improve sustainability, and adopt digital solutions. The company’s commitment to precision agriculture and data‑driven decision making positions it at the forefront of the Artificial Intelligence revolution in Zambia. As part of its strategic growth, Bayer Zambia is expanding its data analytics capabilities to harness the power of aerial imagery, sensor data, and machine learning for smarter farming practices.
With a workforce that values diversity, collaboration, and continuous learning, Bayer Zambia offers a dynamic environment where technology meets agriculture. The organization actively contributes to national development goals, creating career opportunities that align with the country’s vision for modern, resilient agriculture. This role contributes directly to Bayer’s mission of delivering innovative solutions that benefit both farmers and the broader community.
Job Overview
The Agricultural Drone Data Analyst will be responsible for processing, analyzing, and interpreting high‑resolution drone imagery and sensor data to generate actionable insights for crop management. Working closely with agronomists, data scientists, and field engineers, you will develop AI models that predict yield, detect disease, and optimize input usage. This position plays a critical role in advancing Bayer’s digital agriculture platform and supports the broader goal of sustainable food production in Zambia.
For more information about career opportunities, visit our main portal: https://zambiajobssearch.com.
Key Responsibilities
- Collect, preprocess, and validate drone‑captured multispectral and thermal imagery across diverse farm sites.
- Develop and fine‑tune machine‑learning algorithms for crop health assessment, yield forecasting, and anomaly detection.
- Collaborate with agronomy teams to translate analytical outputs into practical recommendations for farmers.
- Create interactive dashboards and visual reports that communicate insights to stakeholders at all levels.
- Maintain data pipelines, ensuring data integrity, security, and compliance with local regulations.
- Stay updated on emerging AI techniques, drone technologies, and agricultural best practices to continuously improve analytical models.
Required Skills
- Proficiency in Python or R, with experience in libraries such as TensorFlow, PyTorch, scikit‑learn, and OpenCV.
- Strong understanding of remote sensing, GIS, and image processing workflows.
- Experience with drone platforms (e.g., DJI, Parrot) and associated data formats.
- Ability to work with large datasets, perform statistical analysis, and visualize results.
- Excellent problem‑solving skills and a collaborative mindset.
- Effective communication skills to present technical findings to non‑technical audiences.
Education
A Bachelor’s degree in Data Science, Computer Science, Agricultural Engineering, Agronomy, or a related discipline is required. Advanced certifications or a Master’s degree in Artificial Intelligence, Geospatial Analytics, or Precision Agriculture are highly desirable.
Experience
Applicants should have 3‑5 years of hands‑on experience in data analytics, remote sensing, or drone‑based agricultural projects. Prior experience in the Zambian or Southern African agricultural context is a strong advantage.
Salary
The role offers a competitive salary range of SSP 150,000 to SSP 250,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and incentives are also part of the compensation package.
Benefits
- Comprehensive health insurance covering medical, dental, and vision.
- Retirement savings plan with employer contributions.
- Paid annual leave, sick leave, and public holidays.
- Professional development allowance for certifications, workshops, and conferences.
- Employee assistance program and wellness initiatives.
Explore additional resources for career growth: https://malawijobsearch.com/job-vacancy-in-malawi/.
Training
- On‑boarding program covering Bayer’s agricultural technologies and data platforms.
- Advanced AI and machine‑learning workshops tailored to agronomic applications.
- Field training sessions with drone pilots and agronomy experts.
- Mentorship from senior data scientists and industry specialists.
For regional insights and networking, visit: https://zimbabwejobsearch.com/.
Working Environment
Bayer Zambia offers a modern, collaborative workspace equipped with state‑of‑the‑art computing resources, cloud platforms, and a supportive team culture. Fieldwork may involve travel to farm sites across the country, providing a blend of office‑based analysis and hands‑on data collection.
Application Process
Interested candidates should submit their updated CV and a cover letter outlining relevant experience through the online application portal. Shortlisted applicants will be invited to complete a technical assessment followed by interviews with the data analytics and agronomy teams.
Equal Opportunity Statement
Bayer Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, or background. All qualified applicants will receive consideration for employment.