Key Responsibilities

• Assess soil analysis data, recommend improvements, and develop strategies to enhance soil health and fertility using digital tools. Implement sustainable crop management practices to optimize yield and quality.
• Manage and Validate current data flows from internal soil analysis tools and define strategies for improvement to the product team.
• Define methodologies and procedures to product development or other teams for standardized analysis processes, storage of analysis results and interpretation for dynamic agronomic advisory to farmers.
• Identify, diagnose, and develop management plans for pests and diseases affecting crops. Recommend appropriate chemical, biological, or cultural control measures.
• Collaborate with relevant data collection and analysis teams to develop more efficient, data analysis procedures, data interpretation and crop recommendations.
• Collaborate with necessary stakeholders to re-assess the value of UjuziKilimo’s agricultural data collection efforts and make recommendations to maximize value and minimize cost.
• Collaborate with stakeholders to implement sustainable agricultural practices that minimize environmental impact and improve long-term productivity. Advocate for the adoption of innovative techniques and technologies.
• Participate in sprints on geospatial field, crop models, and text-based data for our products in collaboration with the product teams.
• Work cross-functionally to support a road map of analyses to feed UjuziKilimo’s agronomic advisory tools and Farmsuite platform to drive farmers’ behavior change towards sustainable agricultural practices.
• Contribute to a strategy to combine internal and external data sources to generate meaningful insights practical to small scale farmers.
• Prepare detailed reports on soil and crop conditions, research findings, and recommendations. Maintain accurate records of field activities, trials, and outcomes.
• Build and sustain positive relationships with the UjuziKilimo Research Partners, Precision Agriculture Specialists, and other potential partners.
• Synthesize data collected from multiple streams, as well as management best practices to determine the optimal systems to improve farmer profitability.

Requirements

Qualifications & Profile

• Strong understanding of soil science, crop physiology, pest management, and sustainable agricultural practices.
• Demonstrated ability to assemble data from multiple sources (agronomic field data from a multi-region or large geographical areas spanning many environments) into summaries capable of driving decisions to meet business or scientific objectives.
• Able to work with farm-scale trial design, data management, and spatial data analysis.
• Excels at communicating data analysis at the interface of business and agronomy/data science through clear documentation.
• Extremely comfortable working with messy data-sets from a variety of non-normalized sources including literature and un- digitized sources.
• Understands the agronomic and financial outcomes that drive farm profitability; capable of using that knowledge to prioritize analyses and connect insights to action.
• Enjoys capturing complex analyses problems; able to identify and apply appropriate advanced statistical analysis techniques as necessary.

Experience

• 2+ years’ experience in Agriculture industry working with and creating value from field data.
• BSc. or MSc. in agricultural discipline or related field.
• Experience with spatial data analysis, data aggregation, and visualization (fluent in git, Python, SQL, and QGIS or ESRI GIS)
• Familiar with agriculture-specific data sources.