About One Acre Fund

Founded in 2006, One Acre Fund supplies 1 million smallholder farmers with the agricultural services they need to make their farms vastly more productive. Our 8,000+ team is drawn from diverse backgrounds and professions. With operations across six core countries in Africa, we make farmers more prosperous by providing quality farm supplies on credit, delivered within walking distance of farmers’ homes, and agricultural training to improve harvests. On average, the farmers we serve harvest 50 percent more food after working with One Acre Fund.

To learn more about our work, take a look at our Why Work Here blog for more information.

About the Role

You will support colleagues in the R&D Division in the analysis of trial data and also manage standalone (“optimised agronomy”) research projects utilising big data (longitudinal datasets and meta-analyses) from several sources including historical/legacy trial data and open source data. You will report to the Agricultural Innovations department lead and will lead the Data sub-team.

Responsibilities

• Apply several data techniques like machine learning, raster/vector-based GIS and statistical modelling (e.g. GLMM) to analyse large geospatial datasets to support recommendations on, for example, seed products or nutrient management. Use R or Python, Dataiku and QGIS.
• Enhance our crop research capabilities through improvements to existing code and multi-stakeholder research platforms like CLIMMOB
• Build complex impact models to analyze the economic, environmental, and social impacts of promising products
• Manage new and historical data by designing data management protocols and permanent repositories; maintain our countrywide network of weather sensors.
• Data cleaning, data analysis, reporting, presentation of results and assisting other teams in roll-out of products; integrate solutions with Systems & Tech teams.
• Coordinate acquisition of data from other departments and external partners

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:

• Master’s degree in data science, statistics or related field, or demonstrated experience e.g., on Github.
• Demonstrated experience in applying apply data science techniques to solve problems.
• Proficient in R and/or Python, and preferably in spatial analysis.
• Fluent in English and Kinyarwanda
• Interested in learning more about plants, climate and soil

Preferred Start Date

As soon as possible

Job Location

Kigali or Rubengera (with travel to other location 1 week per month; accommodation & transport provided)

Benefits

Health insurance, paid time off

Contract Duration

2 Years

Eligibility

This role is only open to citizens or permanent residents of Rwanda