NYU Paris is seeking a part-time lecturer to teach an expected undergraduate course in Data Science, Causal Inference. The course is held at NYU academic center in Paris and is offered to undergraduate students.

Language of instruction: English

Teaching commences in January 2026; courses meet for 2.5 hours per week for a 14.5 week term.Lecturers will be expected to teach an additional recitation session for 1.5 hours per week. Instructors should be prepared to teach in-person and simultaneously to be prepared for remote instruction should circumstances require it. NYU uses Zoom as its primary platform for remote instruction.

Causal Inference

Prerequisite: Intro to Data Science

Teaches the fundamentals of how to reason about causality and make causal determinations using empirical data. Introduces the counterfactual framework of causal inference and then considers a variety of approaches, starting with the most basic experimental designs to more c...