Position Description:       

The Data Scientist will be responsible for collecting, cleaning, and analyzing large datasets, encompassing both structured and unstructured data, specifically for forecasting and observation. This role will involve developing data-driven models, processing large geophysical datasets, and integrating Machine Learning (ML) techniques into the tsunami forecasting framework. Ultimately, the position focuses on advancing RIMES' data analytics capabilities to improve forecast reliability and inform decision-making.

Duty station:  RIMES, AIT Campus, 58 Moo 9, Paholyothin Road, Klong Nueng, Klong Luang, Pathumthani 12120 Thailand

Type of Contract: Full-time Project-Based contract

Skills and Qualifications:

Education:                 

• A Bachelor’s degree in Data Science, Computer Science, Geoinformatics, Statistics, Earth Sciences, or a related field, with a minimum of five (5) years of relevant professional experience in data science, preferably in geospatial or geophysical applications;
• A Master’s degree in related field with at least three (3) years of relevant experience

Knowledge Skills and Abilities:

• Strong proficiency in Python or R, with experience using data analytics libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Solid understanding of machine learning concepts, time-series analysis, and statistical modeling.
• Familiarity with geospatial data formats (e.g., NetCDF, GRIB, GeoTIFF) and GIS tools is a plus.
• Familiarity with global and regional forecasting systems and platforms and experience working with climate datasets.
• Strong analytical, diagnostic, and systems-level problem-solving skills.
• Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
• Ability to document technical work and communicate findings clearly with the project team.
• Capacity to manage multiple assignments under tight deadlines and work effectively in a cross-disciplinary, multicultural team environment.

Experience:

• Minimum 3 years of experience in data science, preferably in geospatial or geophysical applications.
• Experience working with scientific computing and version control systems (e.g., Git).

Personal Qualities     

• Conscientious and efficient in meeting commitments, observing deadlines, and achieving results.
• Self-driven and capable of working independently while maintaining accountability and initiative.
• Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
• Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
• Professional, respectful, and proactive in both independent and team-based work settings.

Major Duties and Responsibilities

The Data Scientist will be responsible for data collection, analysis, model development and other related tasks in the following areas:

1.      Data Collection and Analysis:

• Collect, organize, and maintain large-scale structured and unstructured datasets from seismic, oceanographic, observational sources, and historical records.
• Contribute to the design and development of the tsunami scenario database, including data indexing, tagging, and retrieval functionality.
• Conduct exploratory data analysis (EDA) to identify trends, anomalies, and features relevant to support scenario-based modeling.

2.      Model Development

• Collaborate with system architects and software developers to integrate data science models into the PRECISE platform.
• Develop probabilistic models to quantify uncertainty in tsunami impact forecasts, including scenario-based risk assessments and ensemble modeling techniques.
• Develop statistical and ML models to identify patterns, anomalies, and predictive signals for tsunami generation and propagation.
• Evaluate model performance and implement optimization strategies to improve prediction accuracy and computational efficiency.
• Document data sources, methodologies, models, and workflows to ensure reproducibility and transparency.
• Provide technical recommendations for future AI/ML tool integration based on findings and emerging trends.

3.      Other tasks

• Support the development of visualization tools and dashboards for real-time data interpretation and communication with end users.
• Collaborate with cross-functional teams including researchers, domain experts, and developers to ensure effective system design and integration.
• Provide technical support and documentation, including system manuals, deployment instructions, and maintenance guidelines.
• Perform other duties as may be required by the Project Lead.

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.