The Visualization Expert – Impact-Based Forecasting creates intuitive dashboards and visual tools to enhance data accessibility for policymakers and stakeholders and to build and train machine learning models for data-driven applications in planning, early warning, and operational systems. To design and implement ML-based solutions to support intelligent decision support across sectors (e.g., climate services, disaster management.

The role involves drawing from and contributing to multi-disciplinary datasets and working closely with a multi-disciplinary team within RIMES for generating IBF DSS, developing contingency plans, automating monitoring systems, contributing to Post-Disaster Needs Assessments (PDNA), and applying ML techniques for risk reduction. This position requires a strong understanding of meteorological, hydrological, vulnerability and exposure patterns, and translate data into actionable insights for disaster preparedness and resilience planning.

Minimum Qualifications

Education:

● Bachelor’s or Master’s degree in Data Science, Design, Information Systems or a related field.

Knowledge Skills and Abilities:

● Design and implement clear, accurate, and engaging visualizations that support IBF platforms, dashboards, and reporting systems.

● Understanding of Data Visualization Best Practices: Deep knowledge of effective visualization types, common pitfalls, and ethical considerations (e.g., avoiding misleading visuals, ensuring accuracy, and respecting privacy). Ability to craft compelling narratives with data visualisations.

● Collaborate with cross-functional teams (data scientists, domain experts, UI/UX designers, and developers) to understand visualization needs and user goals as they apply to dashboards, reports, and interactive visualizations.

● Information Design: Ability to structure and organize complex information in a way that is easily digestible and understandable. This includes understanding cognitive load and how people process visual information.

● Programming Proficiency: JavaScript: D3.js, Chart.js, Highchairs, Leaflet/Mapbox (for geospatial visualizations).

● Python: Plotly, Dash, Bokeh, Seaborn, or Matplotlib.

● Design Tools: Working knowledge of tools like Figma, Adobe XD, or Sketch is a plus.

● Structure and organize complex data and indicators into meaningful information hierarchies that support storytelling and quick interpretation.

● Integrate visualizations into web applications, dashboards, or interactive platforms using frameworks like React, Vue, or others as needed.

● Prototype and iterate visual elements based on user feedback and usability testing.

● Ensure visualizations respect accessibility, privacy, and data governance considerations.

● Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong asset.

● Excellent communication skills, especially in multidisciplinary and multicultural team settings.

● Proficiency in technical documentation and user training.

● Experience in multi-stakeholder projects and facilitating capacity-building programs.

Experience:

● Minimum of 2 years of experience in Data Visualization.

● Minimum of 2 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services.

● Experience in multi-stakeholder projects and facilitating capacity-building programs.

Personal Qualities:

● Excellent interpersonal skills; team-oriented work style; pleasant personality.

● Strong desire to learn and undertake new challenges.

● Creative problem-solver; willing to work hard.

● Analytical thinker with problem-solving skills.

● Strong attention to detail and ability to work under pressure.

● Self-motivated, adaptable, and capable of working in multicultural and multidisciplinary environments.

● Strong communication skills and the ability to coordinate with stakeholders.

Major Duties and Responsibilities

Impact-based forecasting

● Collaborate with other members of IT team, meteorologists, hydrologists, GIS specialists, and disaster risk Management experts within RIMES to ensure the development of IBF DSS

● Design visuals using Tableau, Power BI, or D3.js.

● Convert complex data into interactive graphics.

● Develop sector-specific dashboards (climate risk management/disaster risk management).

● Ensure visual accessibility and storytelling.

● Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices.

● Work with forecasters and domain experts to automate the generation of impact-based products.

● Ensure data security, backup, and compliance with data governance and interoperability standards.

● Train national counterparts on the use and management of the AL, including analytics dashboards.

● Collaborate with GIS experts, hydromet agencies, and emergency response teams for integrated service delivery.

● Technical documentation on data architecture, models, and systems.

Capacity Building and Stakeholder Engagement

● Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools.

● Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required.

● Prepare and implement training programs to enhance team capacity and submit training outcome reports.

Reporting

● Prepare technical reports, progress updates, and outreach materials for stakeholders.

● Maintain comprehensive project documentation, including strategies, milestones, and outcomes.

● Capacity-building workshop materials and training reports.

Other Responsibilities

● Utilize AI skills to assist in system implementation plans and decision support system (DSS) development.

● Utilize skills to assist in system implementation plans and decision support system (DSS) development.

● Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters.

● Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organisational needs.

● The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that may be needed from time to time.

Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews.

RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants, particularly women, are encouraged to apply.

Job Type: Full-time

Pay: Up to ₹100,000.00 per month

Schedule:

Monday to Friday

Ability to commute/relocate:

Chepauk, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

Do you have any experience or interest in working with international or non-profit organizations? Please explain.
What are your salary expectations per month?

Education:

Bachelor's (Preferred)

Experience:

JavaScript: 2 years (Preferred)
D3.js: 2 years (Preferred)
Data visualization: 2 years (Preferred)
Python: 2 years (Preferred)
Data science: 2 years (Preferred)
React: 2 years (Preferred)
Vue.js: 2 years (Preferred)

Location:

Chepauk, Chennai, Tamil Nadu (Preferred)

Work Location: In person