Overview
The Senior Evaluation Specialist will lead the application of advanced analytics and data science to strengthen evaluation rigor and the effective use of evaluation evidence across the department and ADB.
Key Responsibilities
- Use advanced data analysis, statistics, econometric methods and artificial intelligence (AI) tools to support evaluations, validations, and portfolio-level assessments.
- Support the scoping, inception, and analysis phases of evaluations, focusing on institutionalizing innovative approaches.
- Design and operate reusable data generation, integration, and analytics assets using machine learning, natural language processing and other AI methodologies.
- Support evaluation teams in the extraction, engineering, and analysis of structured and unstructured data.
- Design and implement causal inference and Natural Language Processing workflows, integrate qualitative evidence, and produce reproducible, transparent, and ethically sound analytics.
- Oversee creation and maintenance of analytical models, datasets, and data pipelines.
- Turn complex data and analytical results into clear messages, insights, lessons, and data visualizations.
- Work closely with other team members, evaluation teams, IT colleagues, and operational staff.
- Provide technical leadership and guidance on the use of data science and advanced analytics in evaluation work.
- Support department-wide learning and knowledge sharing.
- Contribute to the modernization and innovation of evaluation practice.
- Perform other tasks as may be assigned.
Required Experience
- At least 10 years of relevant professional experience, including experience in evaluation, analytics, research, or data-driven work in a development bank, international organization, public sector, or similar institution.
- At least 5 years of supervisory experience.
- International experience working in several countries.
- Proficiency in Python and/or R, SQL, and data visualization or BI tools.
- Demonstrated experience in statistical modeling, causal inference, or econometric analysis using complex datasets.
- Demonstrated skills in data science and AI methods, including natural language processing, text mining, machine learning etc.
- Knowledge of best practices in data protection and ethical use of data science and AI is necessary.
- Excellent analytical, communication, and stakeholder engagement skills.
- Ability to communicate complex technical concepts clearly, both in writing and orally, to diverse and non-technical audiences.
- Familiarity with ADB's development operations, project cycles, portfolio management, and evaluation processes is desirable but not essential.
Qualifications
• PhD or Master's degree in Data Science, Statistics, Computer Science, Public Policy, Economics, Development Studies, or a related field, or University degree and at least 5 years specialized experience relevant to the position can be considered.
