Jul 30, World Agroforestry Centre Data Specialist – Agronomic Analytics and Modeling Jobs in Kenya

jul-30,-world-agroforestry-centre-data-specialist-–-agronomic-analytics-and-modeling-jobs-in-kenya

World Agroforestry Centre Data Specialist – Agronomic Analytics and Modeling Jobs in Kenya

Summary of Responsibilities

  • 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.

    Requirements

  • Ph.D. in Data Science, Statistics, Computer Science, or a related field.
  • Minimum 5 years of experience in leading data science teams, preferably in an agricultural or environmental context.
  • Strong background in statistical analysis, machine learning, and predictive modeling.
  • Proficiency in programming languages such as R, Python, and SQL.

    Personal Attributes and competencies

  • Experience with big data technologies and cloud computing platforms.
  • Demonstrated ability to translate complex analytical results into actionable insights.
  • Excellent communication and leadership skills
  • Knowledge of agricultural systems and environmental science is highly desirable.

    Terms and conditions

  • This is a Locally Recruited Staff (LRS) position and on competitive remuneration in local currency, commensurate with skills and experience.
  • The appointment will be for a period of two (2) years, inclusive of a six-month probationary period, with the possibility of extension contingent upon performance, continued relevance of the position and available resources.

    How to Apply

    For more information and job application details, see; World Agroforestry Centre Data Specialist – Agronomic Analytics and Modeling Jobs in Kenya

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