Innovations for Poverty Action (IPA) is a research and policy nonprofit that discovers and promotes effective solutions to global poverty problems. IPA brings together researchers and decision-makers to design, rigorously evaluate, and refine these solutions and their applications, ensuring that the evidence created is used to improve the lives of the world’s poor. In recent decades, trillions of dollars have been spent on programs designed to reduce global poverty, but clear evidence of which programs succeed is rare, and when evidence does exist, decision-makers often do not know about it. IPA exists to bring together leading researchers and these decision-makers to ensure that the evidence we create leads to a tangible impact on the world. Since its founding in 2002, IPA has worked with over 600 leading academics to conduct over 900 evaluations in 52 countries. This research has informed hundreds of successful programs that now impact millions of individuals worldwide.
We are recruiting to fill the position below:
Job Title: Senior Data Scientist
Requisition ID: 1702 Location: Nigeria
Job type: Full time
Reports to: Senior Director of Global Research and Data Science
Position Summary
We’re seeking a passionate Senior Data Scientist to be a leader in data science and engineering on IPA’s global research and data science (GRDS) team. You lead 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 modelling, 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%:
Lead data science and machine learning projects
Develop and optimize scalable data infrastructure and analytics pipelines
Drive the adoption of cutting-edge technologies, including NLP and LLMs
Develop original code for research and data software solutions
Provide feedback to peers and mentor colleagues through code review and testing
Mentor research and data science colleagues, fostering a culture of innovation and inclusion
Lead the development of training on data science software solutions, methods, and tools
Contribute to GRDS research resources on project management
40%:
Collaborate with leadership and international partners on high-impact projects
Managing complex data science projects, often with a high degree of ambiguity
Manage Strategic partnership 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 direct technical assistance to IPA research Projects
Deliver, weekly, monthly and quarterly updates to internal IPA stakeholders on project and product development for research and data science projects
Represent the organization at conferences and in the broader data science community
Qualifications
Required:
Bachelor's Degree or equivalent experience in a relevant field (e.g., Computer Science, Data Science, Statistics, Data Science, or related discipline)
4+ years’ experience in a data science or data engineering setting
2+ years’ experience with cloud computing platforms (AWS, GCP, or Azure) and analytics databases (Snowflake, Databricks, Redshift, Motherduck, Clickhouse)
2+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience
Proven leadership 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
Preferred:
Technical knowledge of best practices for applied machine learning
Background in applying NLP techniques and working with LLMs
Strong understanding and ability to present data analysis through impactful data storytelling and visualization
Excellent communication and presentation skills
Strong analytical and problem-solving skills with attention to detail
Experience with project management tools (e.g. Jira, Asana)
Experience with data engineering tools for ELT (e.g. dlt, SQLMesh, dbt)
Experience with additional data science and econometrics software such as R or Stata
Familiarity with research quality standards and best practices in survey data collection and data management
Experience working with international development organizations or research institutions
Familiarity with ICT for development concepts and applications
Ability to work in one (or more) of the following languages: Spanish, French, Swahili