In A Nutshell
Responsible for designing, developing, and deploying software solutions for nonprofit organizations — leveraging machine learning, data engineering, and data science techniques to help organizations deliver social services to marginalized communities.
Responsibilities
- Design, develop, and maintain data pipelines and infrastructure for nonprofit data collection, storage, and processing. Adapt to nonprofit partner needs, including data sovereignty and local data privacy regulations.
- Build and deploy GenAI applications to automate processes, generate insights, and improve service delivery to nonprofit end-users. Many of our nonprofit partners use WhatsApp and other messaging services to provide digital coaching, mentoring, and advising to marginalized households.
- Develop data science models and algorithms to analyze nonprofit user data, extract meaningful patterns, and enable product targeting and customization.
- Collaborate with cross-functional teams to identify consistent pain points across nonprofits and generalize our solutions to support a broad range of social sector organizations.
- Document technical specifications, processes, and best practices. Ensure data quality, integrity, and security across all systems. Stay up-to-date with the latest advancements in GenAI, data engineering, and data science.
- Coach engineering and data science counterparts at nonprofit organizations in the global South, providing virtual and in-person mentoring and pair programming sessions to improve their ability to operate independently.
Skillset
- Formal education and experience in Computer Science, Data Science, or a related field.
- Proven experience in software engineering with a focus on data-driven applications.
- Strong understanding of data engineering principles and tools (e.g., ETL, data warehousing, cloud platforms).
- Experience developing and deploying AI applications (e.g., NLP, computer vision).
- Proficiency in data science techniques and tools (e.g., machine learning, causal inference in Python or R).
- Experience with database management systems (e.g., SQL, NoSQL).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, particularly with remote, multi-cultural teams.
- Passion for using technology and data to create social impact.