Precision Agriculture Data Scientist Job Vacancy in Kasungu, Malawi – Agriculture Technology

Job Description

Position: Precision Agriculture Data Scientist

Company: Bayer Crop Science Malawi

Location: Kasungu, Malawi

Experience: 3-5 years

Education: Bachelor’s degree in Data Science, Agronomy, Computer Science or related field

Employment Type: Full-time

Industry: Agriculture Technology

Department: Data Analytics

Salary: SSP 1,200,000 – SSP 1,800,000 per annum

Vacancies:1

Company Overview

Bayer Crop Science Malawi is a leading global provider of innovative agricultural solutions, dedicated to improving crop yields, sustainability, and farmer profitability across the African continent. With a strong presence in Malawi, Bayer collaborates closely with local growers, research institutions, and government agencies to deliver cutting‑edge seed technologies, crop protection products, and digital farming tools. Our mission aligns with the United Nations Sustainable Development Goals, focusing on food security, climate‑smart agriculture, and economic empowerment. As part of a multinational organization, Bayer offers a dynamic work environment where talent is nurtured, diversity is celebrated, and career growth is supported through continuous learning and global mobility opportunities. Join us to be part of a forward‑thinking team that drives transformative change in Malawi’s agricultural sector and contributes to the broader vision of sustainable development.

Job Overview

The Precision Agriculture Data Scientist will play a pivotal role in harnessing the power of big data, remote sensing, and machine learning to deliver actionable insights for smallholder and commercial farmers in Malawi. You will work closely with agronomists, engineers, and product managers to develop predictive models that optimize planting schedules, fertilizer application, pest management, and irrigation practices. This position offers a unique opportunity to blend agricultural expertise with advanced analytics, directly influencing the productivity and resilience of Malawi’s farming communities. For more about our mission, visit https://malawijobsearch.com.

Key Responsibilities

• Design, develop, and validate machine‑learning models that predict crop performance, disease outbreaks, and resource utilization.
• Integrate satellite imagery, drone data, IoT sensor streams, and historical agronomic records into a unified analytics platform.
• Collaborate with field agronomists to translate model outputs into practical recommendations for farmers.
• Develop interactive dashboards and visualizations that communicate complex data insights in an intuitive manner.
• Conduct field trials to assess model accuracy and refine algorithms based on real‑world feedback.
• Maintain data pipelines ensuring data quality, security, and compliance with local regulations.
• Publish research findings in industry journals and present results at conferences to enhance Bayer’s thought leadership in precision agriculture.

Required Skills

• Proficiency in Python or R, with extensive experience in libraries such as TensorFlow, PyTorch, scikit‑learn, and pandas.
• Strong understanding of geospatial analysis, remote sensing, and GIS tools (e.g., QGIS, ArcGIS).
• Experience working with large‑scale agricultural datasets, including satellite imagery (Sentinel, Landsat) and drone‑captured data.
• Ability to communicate technical concepts to non‑technical stakeholders, including farmers and extension officers.
• Knowledge of agronomic principles, crop physiology, and soil science is highly desirable.
• Excellent problem‑solving skills, attention to detail, and a collaborative mindset.

Education

A minimum of a Bachelor’s degree in Data Science, Computer Science, Agronomy, Agricultural Engineering, or a related discipline is required. A Master’s degree or Ph.D. in a quantitative field will be considered an advantage, especially if focused on agricultural analytics or environmental modeling.

Experience

Applicants should have 3‑5 years of professional experience in data science, analytics, or a related role, preferably within the agriculture sector. Experience with precision farming technologies, remote sensing, or agronomic research projects will be highly valued.

Salary

The compensation package ranges from SSP 1,200,000 to SSP 1,800,000 per annum, commensurate with experience and qualifications. The package includes performance‑based bonuses, health insurance, and a retirement savings plan.

Benefits

• Comprehensive medical and dental coverage for employee and dependents.
• Paid annual leave, sick leave, and parental leave.
• Professional development allowance for certifications, conferences, and workshops.
• Employee assistance program and wellness initiatives.
• Company‑provided laptop, mobile device, and secure remote‑access tools.

Explore similar opportunities at https://www.rwandajobsearch.com/.

Training

• On‑boarding program covering Bayer’s agricultural portfolio, data infrastructure, and compliance standards.
• Advanced machine‑learning workshops and certifications (e.g., AWS Certified Machine Learning).
• Field immersion experiences with local farming communities to understand practical challenges.
• Continuous learning sessions on emerging technologies such as AI‑driven phenotyping and edge computing.

Working Environment

The role is based in our Kasungu office, a modern facility equipped with high‑speed internet, collaborative workspaces, and a dedicated analytics lab. Employees enjoy a flexible work arrangement, with the possibility of remote work days, while still maintaining regular field visits to gather data and engage with stakeholders. Bayer fosters an inclusive culture that encourages innovation, cross‑functional teamwork, and a strong sense of purpose.

Application Process

Interested candidates should submit an online application through our career portal, attaching a detailed CV and a cover letter highlighting relevant experience in precision agriculture and data science. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the Data Analytics team and senior agronomy leaders. The recruitment timeline typically spans four to six weeks from application receipt.

Equal Opportunity Statement

Bayer Crop Science Malawi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, sexual orientation, or any other protected characteristic. We encourage qualified candidates from all backgrounds to apply and join our mission to transform agriculture in Malawi.