Data Scientist
QED.ai
Data Scientist
QED.ai
Data systems and AI for health.
+3 years of experience in machine learning, preferably in computer vision
Respectable track record in competitive data modeling, and/or notable research achievements.
Well-versed with the latest trends with top-performing tools and the ML research community.
Strong fluency in both Python and in the main AI-related tools of the trade
Strong skills in logical reasoning and critical thinking, and the confidence to both express it and also receive constructive feedback through daily code review
Non-superficial intuitions about AI, beyond import blackbox
Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.
Good fluency in English speaking and writing (typing > 35 wpm).
Critical thinking skills, expressiveness, and team-oriented attitude.
And you have to care about the work that you do!
Working knowledge of statistics and basic probability.
Experience working with enterprise data warehouse software and/or data processing pipelines.
Experience working with datasets that cannot fit on a desktop, and systems engineering techniques for overcoming these constraints.
Evidence of leadership and team-building skills.
QED.ai builds data systems and AI solutions for health and agriculture to support humanitarian projects aligned with SDGs 2, 3, 6, and 15. It designs and deploys data platforms that help partner organizations collect, store, and analyze data, then uses AI-driven insights to inform policy decisions. Unlike generic tech vendors, it tailors its tools to local conditions and works closely with international projects to ensure real-world applicability. Its goal is to empower development actors with practical data-enabled tools that improve health, agriculture, and environmental outcomes while strengthening policy impact in low-resource settings.
Explore more opportunities at QED.ai