Machine Learning PhD Intern, Economics (Fall)

Details

• 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.
• 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