ICARDA
ICARDA

200-500 employees

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About ICARDA

This is the core work of the International Center for Agricultural Research in the Dry Area (ICARDA), which works with partners around the world, developing innovations to improve food security and the livelihoods of the rural poor. ICARDA's work targets non-tropical dry areas in developing countries, and also produces international public goods with potential for global application. Research covers crops (wheat, barley, faba beans, lentils, chickpeas and forage legumes), the management of natural resources (water, land, biodiversity), small ruminant (sheep and goat production), farming (intensification, diversification, integration between farming systems), and socio-economic and policy research - Over the past decade, ICARDA has developed new varieties of wheat that offer higher yields, improved heat and cold tolerance, and improved insect resistance.

3 months ago

Data Scientist

Abu Dhabi - Remote
Full-time
Mid Level
Data Scientist
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Description
  • Reports to: Research Team Leader - Soils, Waters and Agronomy
  • Location: Abu Dhabi, UAE
  • ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.
  • The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.
  • About ICARDA
  • The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.
  • ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.
  • Main responsibilities include working with various datasets (geospatial, biophysical, climatic, genomic, socioeconomic), developing Predictive AI solutions, utilizing geospatial analysis and remote sensing, leading cloud-based workflows on AWS, Azure, or GCP, advocating for LLMs and GPTs in agriculture, engaging in science-policy dialogues, developing visualization applications, curating data, exploring IoT for data collection, supporting project proposals, publishing research, and capacity building.
  • Essential qualifications include a Ph.D. in a related field with strong quantitative skills, at least 10 years of experience for Scientist or Senior Scientist levels, experience in leading AI and data projects, familiarity with geospatial software, cloud platforms, and databases, excellent communication skills, and a track record of publications. Desirable skills include programming in Python, R, and JavaScript.
  • Terms of appointment include a competitive salary, medical insurance, 30 days annual leave, maternity and paternity leave, initial 3-year contract with renewal options, and application language in English.

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Requirements
  • Ph.D. in a field closely related to agriculture with strong quantitative skills (such as Data Science, Machine Learning, Computer Science, Applied Statistics, Agriculture, Biological Science, or Earth Science), or a related discipline.
  • A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level.
  • Candidates with a Master’s degree in the above-mentioned fields should have at least 12 years of relevant experience deploying AI and data solutions in real-world projects and industries.
  • Experience in leading teams on topics like Artificial Neural Networks (ANN), machine learning-based data analysis, and process modeling, geospatial analysis, and remote sensing.
  • Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous.
  • Proficiency in cloud computing platforms such as Google Colab, AWS, Azure, and GCP is desirable, along with knowledge of database management systems (e.g., SQL, PostgreSQL, NoSQL).
  • Demonstrated ability to lead data science projects and teams effectively.
  • Excellent communication and interpersonal skills for engaging and collaborating with diverse stakeholders.
  • Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums.
  • Capable of working both independently and collaboratively within a team setting.
  • Previous experience in agricultural research or related fields.
  • Knowledge of the agricultural context in the dryland regions.
  • Experience with leading ICT4D and data-centric projects.
  • Track record of publications in relevant scientific journals and repositories such as GitHub.

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Benefits
  • Competitive salary
  • Medical insurance
  • 30 days of annual leave
  • Five months’ maternity leave
  • 15 days’ paternity leave