Agricultural Risk Data Scientist 120 views0 applications


We are looking for a qualified person to coordinate and lead the development of data-driven analytical approaches to assess agricultural risk and risk-reduction interventions. The position will also provide thought leadership on new directions for CIAT’s data science research on agricultural risk management, financial services for agriculture (e.g. credit and insurance), and climate finance. The position will be full-time and based in Nairobi, Kenya, but will have a global mandate.

Main Responsibilities:

 Coordinate and contribute to the planning and execution of climate impact modelling and data analysis activities for agricultural risk and climate-smart agriculture (CSA) profiling, ensuring quality of outputs and coordination amongst team members.

 Lead the development of an agricultural risk profiling system and database targeted at financial services sector partners.

 Implement existing and develop new climate and crop data analysis approaches for assessing the impact of climate variability and climate change on agricultural value chains.

 Ensure timely delivery and quality control of modelling outputs, facilitate discussion and socialize results with other CIAT scientists.

 Build strong links with CIAT research teams to enhance the potential for agricultural risk management collaborations across CIAT.

 Lead a team of technical analysts, interns and students supporting data science work for ARM
International Center for Tropical Agriculture (CIAT) Recruiting Agricultural Risk Data Scientist

 Lead the writing of peer-reviewed papers on agricultural risk analysis.

 Support relevant fundraising activities, as deemed important.

 Contribute to the expansion of CIAT’s Agricultural Risk Management Strategic Initiative by exploring new potential opportunities to develop new agricultural risk management approaches and analytical products, and by seeking new partnerships and sources of funding related to agricultural risk management, financial services for agriculture (e.g. credit and insurance), and climate finance.

How to apply:

Applicants are invited to visit http://ciat.cgiar.org/ciat-jobs to get full details of the position and to submit their applications. Applications should include reference number Ref: DO-2440 Agriculture Risk Data Scientist as the position applied for. Applications should be saved as one document using the candidate’s last name, first name for ease of sorting.

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  • Job City Nairobi
  • This job has expired!
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The International Center for Tropical Agriculture (CIAT) was formally established in 1967 and began its research in 1969 backed by the Colombian government and Rockefeller, Ford, and Kellogg Foundations. CIAT develops technologies, methods, and knowledge that better enable farmers, mainly smallholders, to enhance eco-efficiency in agriculture. This means we make production more competitive and profitable as well as sustainable and resilient through economically and ecologically sound use of natural resources and purchased inputs.

CIAT has global responsibility for the improvement of two staple foods, cassava and common bean, together with tropical forages for livestock.

In Latin America and the Caribbean, we conduct research on rice as well. Representing diverse food groups and a key component of the world’s agricultural biodiversity, those crops are vital for global food and nutrition security Alongside its research on agrobiodiversity, CIAT works in two other areas – soils and decision and policy analysis – which cut across all tropical crops and production environments. CIAT has its headquarters near Cali, Colombia, with regional offices in Nairobi, Kenya, and Hanoi, Vietnam. Center scientists work in Latin America and the Caribbean as well as 29 countries in sub-Saharan Africa, and 5 in Southeast Asia. Their collaborative efforts in these regions have generated important research achievements with substantial development impact. CIAT is a member of the CGIAR Consortium and Lead Center of the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS). The Center contributes importantly to other CGIAR Research Programs as well. CGIAR is a global agricultural research partnership for a food secure future. Its science is carried out by the 15 research centers who are members of the CGIAR Consortium in collaboration with hundreds of partner organizations.

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0 USD Nairobi CF 3201 Abc road Fixed Term , 40 hours per week International Center for Tropical Agriculture (CIAT)

We are looking for a qualified person to coordinate and lead the development of data-driven analytical approaches to assess agricultural risk and risk-reduction interventions. The position will also provide thought leadership on new directions for CIAT’s data science research on agricultural risk management, financial services for agriculture (e.g. credit and insurance), and climate finance. The position will be full-time and based in Nairobi, Kenya, but will have a global mandate.

Main Responsibilities:

 Coordinate and contribute to the planning and execution of climate impact modelling and data analysis activities for agricultural risk and climate-smart agriculture (CSA) profiling, ensuring quality of outputs and coordination amongst team members.

 Lead the development of an agricultural risk profiling system and database targeted at financial services sector partners.

 Implement existing and develop new climate and crop data analysis approaches for assessing the impact of climate variability and climate change on agricultural value chains.

 Ensure timely delivery and quality control of modelling outputs, facilitate discussion and socialize results with other CIAT scientists.

 Build strong links with CIAT research teams to enhance the potential for agricultural risk management collaborations across CIAT.

 Lead a team of technical analysts, interns and students supporting data science work for ARM International Center for Tropical Agriculture (CIAT) Recruiting Agricultural Risk Data Scientist

 Lead the writing of peer-reviewed papers on agricultural risk analysis.

 Support relevant fundraising activities, as deemed important.

 Contribute to the expansion of CIAT's Agricultural Risk Management Strategic Initiative by exploring new potential opportunities to develop new agricultural risk management approaches and analytical products, and by seeking new partnerships and sources of funding related to agricultural risk management, financial services for agriculture (e.g. credit and insurance), and climate finance.

How to apply:

Applicants are invited to visit http://ciat.cgiar.org/ciat-jobs to get full details of the position and to submit their applications. Applications should include reference number Ref: DO-2440 Agriculture Risk Data Scientist as the position applied for. Applications should be saved as one document using the candidate’s last name, first name for ease of sorting.

2019-08-24

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