CIAT Agricultural Risk Data Scientist Jobs in Kenya
CIAT Agricultural Risk Data Scientist Jobs in Kenya
CIAT works in collaboration with hundreds of partners to help developing countries make farming more competitive, profitable, and resilient through smarter, more sustainable natural resource management. We help policy makers, scientists, and farmers respond to some of the most pressing challenges of our time, including food insecurity and malnutrition, climate change, and environmental degradation.
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 Centre 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.
Requirements:
PhD (or MA/MSc with extensive experience) in a field related to agricultural risk management.
Deep experience in
agricultural risk assessment, crop-climate modelling, climate data analysis, and/or climate change impacts research
Strong data science, modelling and programming skills, including experience with statistical (e.g R), programming (e.g.) Python, spatial analysis/GIS, remote sensing, and/or other data analysis platforms
Experience desired with big data analytic approaches (e.g. AI, Machine Learning) and platforms (e.g. Hadoop, Spark)
Experience and knowledge in issues related to financial services (e.g. credit, insurance) and agricultural finance (including climate finance, impact investment, green bonds, etc.)
Experience developing and analysing large databases of complex information
Demonstrated ability to write scientific journal articles: scientific publication track record in agricultural risk assessment, climate impact analysis or crop modelling (at least 1 paper as first author)
Ability to communicate complex scientific information to a broad audience
Excellent written, oral, and reading skills in English
Good knowledge of statistics for data analysis
How To apply
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 lastname, firstname for ease of sorting.
Applications closing date: 23rd August 2019
Please note that email applications will not be considered.
Only short listed candidates will be contacted.
For more information and job application details, see; CIAT Agricultural Risk Data Scientist Jobs in Kenya
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