drjobs
Data Science Specialist - Climate Services and Agronomy
drjobs Data Science Specialist - Climate Services and Agronomy العربية

Data Science Specialist - Climate Services and Agronomy

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs

Job Location

drjobs

Nairobi - Kenya

Monthly Salary

drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2815038

The organization

The Alliance of Bioversity International and CIAT 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 Climate Action research area of the Alliance BioversityCIAT requires a Data Science Specialist with background experience and interest in using various modeling techniques to improve decision making for the agricultural sector in response to climate adaptation challenges. This position will design and implement decision support tools (DSTs) for improved agronomic management and climate adaptation for a variety of projects across the world. The successful candidate will leverage Alliance expertise in modeling and data science and use their own expertise to design new and improve existing DSTs to deliver climateinformed agronomic advisories at scale. The candidate will have a deep understanding of statistical models and crop models including (but not limited to) processbased crop models their development calibration and spatialization for agronomic adaptation applications. Further to this a deep understanding of agronomy crop physiology and soilplantatmosphere interactions is essential for this position since one of the tasks will be to tailor/translate crop modeling outputs into actionable climateinformed advisories for farmers. We seek somebody with a solutionoriented mindset and a collaborative spirit. The incumbent will work in a team of data scientists and modelers in Kenya and in collaboration with scientists in other countries to understand users needs; and design develop and deploy DSTs and coordinate activities and carry out capacity building activities with partners. The computational agronomist will leverage (and help build) expertise across the Alliance coordinating with Alliance scientists from Asia and Latin America on related thematic areas.


The position will contribute to the development of tools and capacity development under the iSPARK (innovation in sustainability policy adaptation and resilience in Kenya) project and especially around the continued development maintenance and scaling of digital tools that support the generation and delivery of sitespecific recommendations for improved farmer decision making. The candidate will also be working as part of a variety of projects around agronomic advisory including the Accelerating the Impacts of CGIAR Climate Research in Africa (AICCRA) helping build pathways for scaling climateinformed agronomic advisories.


Key Responsibilities:


Requirements

  • MSc or PhD in agronomy soil science agrometeorology or any related fields
  • Strong problemsolving abilities and analytical thinking skills with a demonstrated ability to analyze complex datasets identify patterns and derive actionable insights to inform decisionmaking.
  • Experience in training and knowledge in processbased crop models such as DSSAT APSIM WOFOST.
  • Expert knowledge in applying machine learning techniques and algorithms such as random forests gradient boosting support vector machines neural networks and ensemble methods to solve agronomic problems and optimize decision support systems.
  • Experience working with and/or developing crop model software in original model frameworks (e.g. C Fortran) is a plus.
  • Demonstrated ability to program in R and/or Python.
  • Demonstrated experience in designing developing and deploying automated and generic data analysis pipelines using programming languages such as Python and/or R and use of version control systems (e.g. Git).
  • Extensive experience of handling and processing gridded datasets relevant for spatial modeling such as weather climate data soil and demonstrated expertise in developing agronomic decision support tools to inform better farm management strategies.
  • Experience with making use of agile development methodologies including iterative development sprint planning and continuous integration to maintain code integrity and documentation.
  • Experience working with partners from academia NGOs CGIAR centers and national agricultural research centers in the context of smallholder farming systems in the lower and middleincome countries.
  • Proficient in software development and IT infrastructure management with demonstrated experience in packaging agronomic advisories into deployable solutions.
  • Strong knowledge of web development frameworks cloud computing platforms and version control systems to effectively deploy agronomic advisories on partners platforms while ensuring scalability reliability and security.
  • Excellent oral and written communication skills in English. French would be a plus.

Terms of employment

This is an internationally recruited position and will be based in Nairobi (Kenya). The initial contract will be for up to two (2) years subject to a probation period of six (6) months and is renewable depending on performance and availability of resources.


This position is graded at BG08 level on a scale of BG01 to BG14 (BG14 being the highest level according to the Alliance job classification framework policy). We offer a competitive salary and excellent benefits including but not limited to insurance retirement plan staff training and development paid time off and flexible working arrangements.


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. Female candidates are strongly encouraged to apply.


Applications

Applicants are invited to visit to get full details of the position and to submit their applications. Applications MUST include reference number 103645: Data Science Specialist Climate Services and Agronomy as the position applied for. Applications and CV should be saved as one document using the candidate s last name and first name for ease of sorting.


Applications closing date: 20th May 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:




Employment Type

Full Time

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.