Agricultural Data Scientist Job Vacancy in Kigali, Rwanda – Agriculture & Data Analytics

Job Description

Position:Agricultural Data Scientist

Company:Syngenta Rwanda

Location:Kigali, Rwanda

Experience:3-5 years

Education:Master’s degree in Data Science, Agriculture, or related field

Employment Type:Full-time

Industry:Agriculture & Data Analytics

Department:Research & Development

Salary:SSP 1,200,000 – SSP 2,000,000 per month

Vacancies:1

Company Overview

Syngenta Rwanda is a leading global agribusiness dedicated to sustainable agriculture and innovative crop solutions. With a strong presence across East Africa, Syngenta combines cutting‑edge science, digital technology, and local expertise to help farmers increase productivity while preserving the environment. The Kigali office serves as a hub for research, data‑driven decision making, and collaboration with local partners, government agencies, and academic institutions. As part of its commitment to Rwanda Jobs and Career Opportunities in Rwanda, Syngenta continuously invests in talent that can transform agricultural data into actionable insights, supporting the nation’s food security and economic growth.

Job Overview

The Agricultural Data Scientist will join the Research & Development department to lead advanced analytics projects that optimize seed performance, soil health, and pest management across Rwanda’s diverse agro‑ecological zones. Working closely with agronomists, field technicians, and IT specialists, you will design predictive models, develop data pipelines, and translate complex datasets into clear recommendations for farmers and internal stakeholders. This role is central to Syngenta’s mission of delivering data‑powered solutions that enhance yields, reduce input costs, and promote sustainable farming practices. For more information about our vision, visit our main website https://rwandajobsearch.com.

Key Responsibilities

• Collect, clean, and integrate heterogeneous agricultural data sources, including satellite imagery, IoT sensor feeds, and field trial results.
• Develop and validate machine‑learning models to predict crop yields, disease outbreaks, and optimal fertilizer application rates.
• Collaborate with agronomists to design experiments that generate high‑quality data for model training and validation.
• Create interactive dashboards and visualizations that communicate insights to farmers, extension officers, and senior management.
• Implement data governance standards to ensure data quality, security, and compliance with local regulations.
• Publish research findings in internal reports and external journals, enhancing Syngenta’s reputation as a thought leader in agricultural analytics.
• Support the development of digital tools and mobile applications that deliver real‑time recommendations to Rwanda’s farming community.

Required Skills

• Proficiency in Python or R for data analysis, with experience in libraries such as pandas, scikit‑learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, time‑series analysis, and geospatial analytics.
• Experience working with large‑scale datasets, including remote sensing imagery and sensor networks.
• Ability to translate technical results into clear, actionable recommendations for non‑technical audiences.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data pipeline tools (Airflow, Kafka, etc.).
• Excellent communication and teamwork skills, with a collaborative mindset.

Education

A Master’s degree in Data Science, Computer Science, Agricultural Engineering, Agronomy, or a related discipline is required. Candidates with a Ph.D. or additional certifications in machine learning, GIS, or precision agriculture will be given preference.

Experience

Applicants should have 3‑5 years of professional experience in data science, analytics, or research within the agricultural sector. Experience with field data collection, agronomic research, or working in emerging markets is highly valued.

Salary

The position offers a competitive salary range of SSP 1,200,000 to SSP 2,000,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and annual salary reviews are part of the compensation package.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Retirement savings plan with employer contributions.
• Paid parental leave and generous vacation policy.
• Professional development budget for conferences, certifications, and courses.
• Employee assistance program and wellness initiatives.

Training

• On‑boarding program that includes agronomy fundamentals and Syngenta’s data platforms.
• Access to internal learning portals featuring courses on advanced machine learning, GIS, and precision agriculture.
• Mentorship from senior scientists and data engineers.
• Opportunities to attend international Syngenta research symposiums.

Working Environment

Syngenta Rwanda offers a dynamic, inclusive, and collaborative workplace where innovation thrives. The Kigali office features modern workspaces, high‑speed internet, and a culture that encourages continuous learning. Employees benefit from flexible working arrangements, including occasional remote work days, to balance field visits and analytical tasks. The organization values diversity and promotes a respectful environment where every voice is heard.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through our online portal. Applications will be reviewed on a rolling basis, and shortlisted applicants will be invited for a virtual interview followed by a technical assessment. For additional career resources, visit https://www.malawijobsearch.com/.

Equal Opportunity Statement

Syngenta Rwanda is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, disability, or sexual orientation. All qualified applicants will receive consideration for employment without regard to any protected characteristic.