Senior Data Scientist

• 7+ years of hands-on experience conducting end-to-end data analysis and programming with health-related datasets, including in low- and middle-income countries (LMICs), with a clear track record of leading complex research projects independently from design through to delivery
• Demonstrated experience mentoring or managing junior researchers, setting methodological standards, and reviewing the work of others
• Strong proficiency in R (Python is nice to have), including experience with version control and interest in Databricks or other large-scale data platforms
• Strong experience with natural language processing (NLP) and/or qualitative analysis, such as coding open-ended survey responses, thematic analysis, text classification, or transforming unstructured text into structured, analyzable data
• Deep understanding of applied statistics and the ability to translate complex analyses into clear, actionable insights for technical and non-technical audiences, including senior client and funder stakeholders
• A strong grasp of how beliefs, attitudes, and barriers shape health behaviors and outcomes
• A PhD in a relevant field (e.g., public health, health sciences, economics, neuroscience, or engineering) is strongly preferred; equivalent senior-level research or analytical experience will also be considered
• A track record of external research outputs, such as peer-reviewed publications, conference presentations, technical reports, or white papers for clients and funders
• Demonstrated experience in global health research and a willingness to travel as needed
• Fluency in French is a plus
• A collaborative mindset with the confidence to voice well-informed opinions and challenge assumptions constructively, including with senior stakeholders
• Excitement about working in a fast-paced, entrepreneurial environment, where you'll be both a strategic thinker and a hands-on contributor

Location: This role is based in New Delhi, India or Remote.

Travel: Some travel (up to 10%) possible.