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.