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.

Requirements

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningcausal inferencedata manipulationeconometricsPythonRSQLPandasscikit-learnXGBoost

self-motivationownershipcollaborationcommunicationproblem-solving

PhD in economics