Data Scientist II

ABOUT THE COMPANY

Innovations for Poverty Action (IPA) is an international non-profit research organization dedicated to discovering and promoting effective solutions to global poverty problems. IPA works in partnership with development partners and academic researchers to create and evaluate approaches potential solutions to poverty problems using randomized evaluations in the fields of health, education, microfinance, governance and agriculture. We also mobilize and support these decision makers to use these solutions to build better programs and policies at scale.

JOB SUMMARY

QualificationsBachelor's degree or equivalent in computer science, data science, statistics, economics, social sciences, or a related quantitative discipline.At least three years of professional experience in data science, data engineering, research support, or a related field, with a demonstrated record of owning and delivering technical projects independently. (Data Scientist I candidates: at least two years of relevant experience with demonstrated ability to manage analytical tasks with limited supervision.)Proven experience developing data science or data engineering projects in Python.Proficiency in SQL for database querying and analytics.Experience with version control systems such as Git, and with reproducible, well-documented workflows.Strong quantitative skills and a solid understanding of core statistical concepts, including regression, hypothesis testing, and sampling.Demonstrated ability to clean, manage, analyze, and document data.Clear written and verbal communication in English, with the ability to document, explain, and present technical work.Ability to build effective working relationships in a multicultural environment with sensitivity and respect for diversity.At Data Scientist II level: proactive communication, surfacing progress, risks, and decisions without being asked, and experience mentoring or serving as a technical reference for peers.Experience with cloud computing platforms (AWS, GCP, or Azure) and analytics databases (Snowflake, Databricks, Redshift, MotherDuck, or ClickHouse). (preferred)Background in applied machine learning, natural language processing, and large language models. (preferred)Working knowledge of Stata and SurveyCTO for research support, and of additional analytical software such as R. (preferred)Experience with data engineering tools for ELT workflows such as dlt, SQLMesh, or dbt. (preferred)Experience with geospatial analysis. (preferred)Familiarity with research quality standards and best practices in survey data collection and data management. (preferred)Experience with project management tools such as Jira or Asana. (preferred)Experience working with international development organizations or research institutions. (preferred)Ability to work in one or more of the following languages: Spanish, French, or Swahili. (preferred)

REQUIRED SKILLS

Reporting, Data collection, Data models and architectures, Data mining

REQUIRED EDUCATION

Bachelor's degree