Data Science Information Systems & Analytics Developer

1.      Stakeholder Engagement and Requirement Analysis

• Conduct in-depth analysis of stakeholder requirements for new and existing systems.
  
• Provide comprehensive feedback to stakeholders regarding their requirements.
  
• Facilitate stakeholder collaboration in designing mockups and developing use-cases.
  

2.      Information System Design

• Develop Information System Architecture based on stakeholder requirements and current technologies, including deployment strategies and sustainability plans.
  
• Assist the unit in selecting suitable technologies (related to backend, frontend).
  
• Create and validate UI/UX designs through stakeholder engagement.
  
• Work with other CIFOR-ICRAF themes and units to support platform development where relevant.
  

3.      Information System Development

•  Implement software solutions using the selected technology stack
  
• Perform thorough unit testing and quality assurance
  
• Develop developer/user guides.
  

4.      Data Science and Analytics

• Assist in building data pipelines using Open-Source technologies (e.g., Apache Airflow)
  
• Perform data cleaning and curation for dashboard development.
  
• Apply Agile software development principles in the design and development of data-driven dashboards
  
• Explore and implement emerging technologies for micro dashboards (e.g., Apache Superset, Power BI, Observable Framework)
  
• Assist with data analysis and identification of data requirements for data-driven dashboards.
  

5.      Continuous Integration and Continuous Deployment (CI/CD)

• Establish, maintain, test and deploy production CI/CD pipelines
  
• Utilize Docker Hub and GitHub for efficient deployment and version control.
  

6.      Collaborative Requirements Gathering and supervision

• Actively participate in requirement gathering workshops to analyze stakeholder needs
  
• Supervise junior developers on database design and management, and in platform development.
  

7.      Contribute to scientific papers where relevant.

8.      Contribute to proposal development and writing where relevant.

Requirements

• BSc degree in relevant field.
  
• Advance programming skills especially in Python Django framework.
  
• Excellent understanding of database systems, including advanced database development.
  
• Proven solution deployment experience.
  
• Good knowledge of Linux.
  
• Knowledge of Data Science and Machine Learning.
  
• Knowledge of Data and analytical pipelines.
  
• Knoweldge of EDA platforms. 
  
• 2 to 4 years of experience.