IN24175 Data Specialist- Agronomic Analytics and Modeling
CIMMYT is a cutting edge, non-profit, international organization dedicated to solving tomorrow's problems today. It is entrusted with fostering improved quantity, quality, and dependability of production systems and basic cereals such as maize, wheat, triticale, sorghum, millets, and associated crops through applied agricultural science, particularly in the Global South, through building strong partnerships. This combination enhances the livelihood trajectories and resilience of millions of resource-poor farmers, while working towards a more productive, inclusive, and resilient agrifood system within planetary boundaries.
For more information, visit cimmyt.org.
We are seeking a dynamic, self-motivated, and service-oriented professional for the position of Data Specialist- Agronomic Analytics and Modeling in CIMMYT.
The position will be based in Delhi, India.
Duties and Responsabilities:
- Develop and implement best practices and protocols for data cleaning, analysis and modeling.
Design and oversee the development of complex statistical models for agronomic data analysis.
Implement machine learning and AI techniques to extract insights from large-scale agricultural datasets.
Validate and refine models to ensure accuracy and reliability of results.
Lead the development of methodologies for calculating key agricultural KPIs, including: Greenhouse Gas emissions
Soil health indices
- Sustainable practice adoption rates
- Ensure alignment of KPI calculations with international standards and best practices.
- Collaborate with breeding data teams to integrate data-driven insights into agronomic analyses.
- Implement data governance practices to ensure data integrity and security.
- Oversee the development and maintenance of data pipelines and storage systems.
- Prepare and present comprehensive reports on analytical findings to stakeholders.
- Develop data visualizations and dashboards to communicate complex information effectively.
- Collaborate with cross-functional teams to translate analytical insights into actionable recommendations.
- Any other tasks requested by the supervisor.
Requirements
- The candidate must have a Ph.D. in Data Science, Statistics, Computer Science, or a related field.
- The candidate must have Minimum 5 years of experience in leading data science teams, preferably in an agricultural or environmental context.
- Advanced level of English language.
- Exhibit a strong background in statistical analysis, machine learning, and predictive modeling.
- Exhibit proficiency in programming languages such as R, Python, and SQL.
- Experience with big data technologies and cloud computing platforms.
- Demonstrate the ability to translate complex analytical results into actionable insights.
- Knowledge of agricultural systems and environmental science is highly desirable.
- The selected candidate must exhibit the following competencies: Communication, Strategic Thinking, Teamwork, Innovation, Creativity and Pro-activity.
Benefits
The position is for an initial fixed-term contract of 12 months, after which further employment is subject to performance and the continued availability of funds. CIMMYT offers an attractive remuneration package, with a range of benefits including health insurance.
Please note that only short-listed candidates will be contacted.
Women candidates are encouraged to apply.
CIMMYT is an equal opportunity employer. It fosters a multicultural work environment that values gender equality, teamwork, and respect for diversity.
Added 6 days ago
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Updated 7 hours ago
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Source:
cgiar.org
