Data Science intern at DEUNA (San Francisco, CA)Data Science intern

DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA—the fastest-growing Commerce OS in Latin America—ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.

With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico’s digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation. We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments! 🚀

Visit deuna.com to learn more about us!

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.

• Assist in collecting, cleaning, and preparing datasets for analysis.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and evaluation of machine learning models.
• Build dashboards and visualizations to communicate business insights.
• Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
• Document analyses, methodologies, and project findings.
• Participate in team meetings, knowledge-sharing sessions, and technical discussions.
• Learn and apply best practices in data science, experimentation, and analytics.

Required

• Currently pursuing a Bachelor’s or Master’s degree in:
• Computer Science
• Data Science
• Statistics
• Mathematics
• Engineering
• Economics
• Physics
• Or a related quantitative field.