Intuit

Position Title/Short Description

Full Text of JOE Listing:

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Join the Decision Science Team at TurboTax as a Tech Lead for causal inference and predictive modeling projects. You’ll work closely with senior management, business stakeholders, and analysts to tackle high-impact business challenges using advanced econometric models. Your work will shape critical decisions across product, marketing, and strategy by leveraging vast data sets and applying causal inference techniques to uncover deep insights.

We are looking for candidates with deep knowledge of causal inference methods—such as experimental design, propensity scores, instrumental variables, regression discontinuity, difference-in-differences, and synthetic controls—who can apply these methods in real-world settings where identification may be imperfect, including understanding the assumptions required and how to address situations where those assumptions are not fully met.

This is a unique opportunity to apply econometrics in a tech environment, contributing to innovative, data-driven solutions in a fast-paced, collaborative setting.