Machine Learning PhD Intern, Economics at Instacart in Remote

Summary: Instacart is transforming the grocery industry by providing essential services that customers rely on. They are looking for a Machine Learning PhD Intern for their Economics team, where the candidate will design and build machine learning solutions while collaborating with cross-functional teams to support Instacart's growth plans. Responsibilities: - You will help design and build end-to-end machine learning solutions - You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects - You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains - You will develop high impact solutions to support Instacart's ambitious growth plans - You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments - You will have the freedom to suggest and drive organization-wide initiatives Required Qualifications: - Current or recently graduated PhD student in economics or a related field with focus on data-intense problems - A blend of economic theory, applied econometrics, and business acumen that let you jump into a fast-paced environment and contribute from day one - Expertise in causal inference with observational and experimental data - Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools - Self-motivation and a strong sense of ownership Required Skills: Economics, Applied Econometrics, Causal Inference, Python, R, SQL, Pandas, Machine Learning, Scikit-learn, XGBoost, Keras, TensorFlow