📋 Description

• Contribute to the end-to-end analysis of real datasets—framing the question, applying statistical
• Translate quantitative findings into compelling narratives, visualizations, and recommendations to
• Support the development and iteration of statistical, econometric, and machine learning models
• Prototype GenAI and large language model (LLM) applications—such as retrieval-augmented and agentic
• Partner with our MLOps (GenAI) Engineer to move promising prototypes toward production, learning
• Research emerging techniques in machine learning, generative AI, and applied econometrics; run

🎯 Requirements

• Currently pursuing a bachelor’s or master’s degree in Economics, Data Science, Mathematics
• Strong academic (and/or extracurricular or relevant internship) foundation in mathematics
• Programming ability in Python (or R), with familiarity with data libraries such as Pandas, NumPy
• Demonstrated quantitative ability through coursework, research, hackathons, competitions (e.g.
• Exposure to applied machine learning or data mining through coursework or projects, and genuine
• Familiarity with data management concepts and SQL (preferred).