Machine Learning PhD Intern, Economics (Fall)
Core
Design and build end-to-end machine learning solutions at the intersection of economics and machine learning to solve problems in a multi-sided marketplace.
Role type
PhD Intern, Economics & Machine Learning
Builds
Production ML models for marketplace optimization, causal inference, and behavioral analysis
Domain
Grocery delivery / E-commerce / Marketplace Economics
Deliverable
production ML models
Required skills
Causal inference, Econometrics, Python, R, SQL, Pandas, scikit-learn, XGBoost, Keras/Tensorflow
Preferred skills
Research experience in computationally intensive empirical topics, Business acumen
Technologies
Python, R, SQL, Pandas, scikit-learn, XGBoost, Keras, Tensorflow
Responsibilities
Design and build end-to-end machine learning solutions; Work in cross-functional product teams; Develop high impact solutions to support growth; Collaborate with economists, data scientists, and ML engineers; Own the process from problem understanding to testing in controlled experiments
Seniority
Intern
