Rwanda Agricultural Research Data Scientist

About the Role

Seeking an exceptional data analytics professional to advise the organization on new products and practices that can generate "farmer impact" utilizing big data (longitudinal datasets and meta-analyses) from several sources.

Responsibilities

Advanced Trial & Tricot Analytics

• Lead statistical and machine-learning analyses of multi-season trial and Tricot datasets to evaluate performance, identify drivers of outcomes, and generate actionable recommendations.

Geospatial & Segmentation Analysis

• Apply GIS and spatial analytics to stratification, yield gap mapping, zoning, and farmer segmentation to define recommendation domains.

Data Infrastructure & Automation

• Design, maintain, and continuously improve the INN data warehouse and automated data pipelines across trials, weather, and geospatial datasets.

Dashboards & Visualization

• Develop and maintain interactive dashboards and visual tools, working closely with Research Specialists to ensure robust data integration and usability.

Weather & Environmental Data

• Oversee weather data systems, ensure data quality, and integrate derived indices into trial and spatial analyses.

Data Coordination & Integration

• Manage the acquisition, integration, and quality of data from internal teams and external partners.

Reporting & Insight Translation

• Deliver clear, decision-ready reports and visualizations, translating complex analyses into insights for research, management, and scaling partners.

People Management & Capability Building

• Lead and mentor the data team, supporting performance, professional growth, and strong analytical capability across the department.

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• Bachelor’s degree in Data Science, Statistics, Agronomy, or a related field.
• Strong grounding in statistics and machine learning applied to real-world agricultural problems.
• Experience with geospatial analysis, GIS tools, and remote sensing for agricultural insights.
• Proficient in Python/R, SQL, and modern data infrastructure and visualization tools.
• Ability to translate complex data into clear insights for technical and non-technical audiences.
• Demonstrated understanding of agronomic concepts, sampling methods, and data quality best practices.
• Strong problem-solving skills with close attention to detail and data integrity.
• Experience collaborating, mentoring, or leading analytics projects is an added advantage.

Preferred Start Date

As soon as possible

Job Location

Kigali, Rwanda

Benefits

Health insurance, housing, and comprehensive benefits

Contract Duration

2 Years

Eligibility

One Acre Fund can support a work permit for this role. However, nationals of (or those with an extensive professional background and work history in) our countries of operation are preferred.

Application Deadline

07 April 2026. Please note that we hire on a rolling basis, which means that applications are reviewed and processed on a continuous basis until a hire is made.

One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address.

Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address.

Skills Required:

• Computer / Software / It / Data
• Economics / Statistics