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The Alliance of Bioversity International delivers researchbased solutions that harness agricultural biodiversity and sustainably transform food systems to improve people s lives. Alliance solutions address the global crises of malnutrition climate change biodiversity loss and environmental degradation.
The Alliance works with local national and multinational partners across Latin America and the Caribbean Asia and Africa and with the public and private sectors. The Alliance is part of CGIAR a global research partnership for a foodsecure future dedicated to reducing poverty enhancing food and nutrition security and improving natural resources and ecosystem services.
About the position
The ConsultantData science will support KALRO in managing and analyzing large datasets contributing to the development of a data stack Federated Learning and performing various data science tasks necessary for the successful implementation of project activities. This role is critical in ensuring that the datadriven insights generated by the project are effectively used to inform policy and practice in agricultural innovation and resilience.
Key Duties & Responsibilities
Data Management and Development:
Assist in developing and maintaining the KALRO data stack including data pipelines databases and cloudbased tools to achieve a single identity across multiple databases.
Harmonize diverse data sources including databases APIs and external services.
Participate in the development of federated learning technologies and ETL (Extract Transform Load) processes for data ingestion data stewardship transformation and storage.
Data Analysis:
Conduct data cleaning enrichment and transformation for analysis and reporting.
Perform statistical analyses including Principal Component Analysis (PCA) and cluster analysis to generate farmer typologies.
Develop and deploy data visualization tools and dashboards to support decisionmaking processes.
Machine Learning & Predictive Modeling:
Assist in the development and application of machine learning models for predictive analytics classification and anomaly detection.
Contribute to the evaluation and optimization of these models for use in agricultural decisionmaking processes.
Collaboration & Coordination:
Work closely with KALRO CGIAR and University of Leeds scientists and other stakeholders to ensure seamless integration and application of data science tools.
Participate in workshops meetings and other collaborative activities to support the codevelopment of advisory services and the review of ISRA metrics.
Facilitate the dissemination of datadriven insights to smallholder farmers and other stakeholders in the region.
Research Support:
Support field research activities including household surveys focus group discussions and key informant interviews in Kisumu Siaya Vihiga and Busia counties.
Assist in the preparation of research reports policy briefs and academic publications based on data analysis results.
The candidate should have completed a Masters degree (Preferably an MBA or MSc) with specialization in Finance Marketing Innovation and Entrepreneurship and Agribusiness.
5 years of professional experience supporting the startup of commercial agribusiness production sales and marketing operations.
Experience promoting the introduction and adoption of new agriculture technology in Rwanda and East Africa.
Experience advising small and medium private agribusinesses involved in agrifood systems and/or circular ventures.
Demonstrated knowledge and experience related to SMEs access to finance the private sector and entrepreneurship development.
Experience in successful engagement with public sector institutions.
Excellent communication skills able to interact with a multicultural and interdisciplinary team of scientists and development partners in layman language.
Excellent verbal and written communication skills in English and working proficiency in French and Kinyarwanda.
Affinity with multistakeholder approaches
Proactive and independent problem solver and excellent team player.
A good understanding of the circular economy theories approaches and policy landscape in Rwanda is an advantage.
Proven capacity in publishing technical and/or scientific documents such as journal articles and policy briefs are an advantage.
Proven project management skills.
Experience with monitoring and evaluation of research for development interventions is considered an advantage.
Terms of employment
This position is a consultant position based in Nairobi Kenya. The consultancy contract will be a period of six months.
The Alliance BioversityCIAT is committed to fair safe and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence and is critical for our mission. Recruiting and mentoring staff to create an inclusive organization that reflects our global character is a priority. We encourage applicants from all cultures races colors religions sexes national or regional origins ages disability statuses sexual orientations marital status and gender identities.
Applications
Applicants are invited to visit to get full details of the position and to submit their applications. Applications MUST include reference number REF: Consultant Data Science as the position applied for. Cover letter and CV should be saved as one document using the candidate s last name first name for ease of sorting. The Alliance collects and processes personal data in accordance with applicable data protection laws.
Applications closing date: 8th November 2024
Please note that email applications will not be considered.
Only shortlisted candidates will be contacted.
We invite you to learn more about us at:
Education
Qualifications and requirements Bachelor s degree in Systems Engineering, Informatics, or related fields. Proven work experience as a Full Stack Developer. Proficient in both front-end and back-end languages, frameworks, and databases, such as: Angular, React, Java, Node JS, MySQL, MS SQL, PostgreSQL and Oracle. Experience implementing Web Services (REST API), authentication, CI/CD lifecycles and pipelines. Experience building software in cloud environments, AWS, cloud-based solutio
Full Time