You will be embedded within a specific product team where you will work closely with a senior member of the team to act as a strategic partner to Product and Engineering.
You will work on and own a self-contained project that tackles an ambiguous business problem, using your research and analysis toolkit, to deliver actionable recommendations and/or applied prototypes.
You will take open-ended questions and structure them into solvable applied problems.
Design and analyze complex experiments to measure causal impact in a noisy multi-sided marketplace setting.
Synthesize your findings into strategic recommendations presented to senior leadership and cross-functional partners.

Requirements

Currently enrolled in a PhD program in Computer Science, Economics, Statistics, Operations Research, or a related quantitative field.
Strong proficiency in SQL (ability to manipulate large datasets independently).
Fluency in Python or R for statistical modeling and data analysis.
Expertise in experimentation and applied statistical and machine learning methods (hypothesis testing, regression, causal inference, machine learning).
Ability to "think on your feet," with a demonstrated ability to break down complex, unstructured problems.
Specialized research focus in Causal Inference, Econometrics, Experimental Design, Mechanism Design/Auctions, or Optimization.
Prior internship experience or work with large-scale observational data.

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonRstatistical modelingdata analysisexperimentationhypothesis testingregressioncausal inferencemachine learning

Soft Skills

strategic thinkingproblem-solvingcommunicationcollaborationanalytical thinking