We're seeking a passionate Data Scientist to join IPA's global research and data science (GRDS) team. You will make a meaningful impact on global development through innovative data science. In this role, you'll collaborate with an international team to drive technical innovation and research methods at IPA. We value your unique perspective and creative problem-solving skills as you work on applied machine-learning projects that leverage predictive modeling, natural language processing, and large language models. Your expertise in Python, SQL, and cloud computing will be instrumental in transforming complex data across diverse research projects to generate actionable insights. We're committed to fostering an inclusive environment where you can grow, learn, and contribute to data and research projects that matter. We value unique perspectives and offer a supportive environment where team members can grow professionally while contributing to meaningful research and data science solutions.
Responsibilities
60%
Develop and maintain data science assets such as SQL and Python data models
Develop original code for research and data software solutions
Provide feedback to peers through code review and testing
Contribute to GRDS research resources on project management
40%
Provide direct technical assistance to IPA research projects
Partner with IPA country offices, sector programs, policy teams, and Right-fit Evidence unit to plan, implement, and ensure timely completion of research and data science projects
Provide, weekly, monthly, and quarterly updates to internal IPA stakeholders on project and product development for research and data science projects
Develop and present analysis to internal and external stakeholders
Qualifications
Required
2+ years' experience in a data science or data engineering setting
1+ years' experience with cloud computing platforms (AWS, GCP, or Azure)
Proven experience in developing Python data science projects and/or projects
Proficiency in SQL for database querying and analytics
Proven experience with version control systems like Git
Familiarity with working with data APIs and integrating diverse data sources
Ability to lead and maintain effective working relationships in a multicultural environment with sensitivity and respect for diversity
Bachelor's degree or equivalent in a relevant field (e.g., Computer Science, Data Science, Statistics, Data Science, or related discipline)