Wayfair

Position Title/Short Description

Full Text of JOE Listing:

L2 Economist-Summer 2025 Start

This is a Boston-based opportunity with a 3 day in-office expectation.

Who We Are:

Wayfair is looking for economists to tackle difficult empirical problems. Causal inference, empirical IO, and time series modeling, often coupled with principled experimentation, are essential to driving the decision making algorithms that power our core business. We build our systems from the ground up with economic fundamentals in mind.

You will be part of the Pricing, Profitability, Demand Forecasting team, consisting of ~20 full time economists and ML scientists. We are a close knit science team, with a lively economist/science community with quarterly hack-a-ton, weekly reading groups in causal inference/forecasting/ML. We work in close collaboration with engineering, data science, and product teams as well as with commercial teams and opportunity to influence company strategies.

This team builds key science components for many of our pricing, market design, finance, and operations systems. Our Economist role has 3 different skill sets:

Reduced Form Causal Analysis
Empirical Industrial Organization
Time Series/Forecasting

We will ask you to specify the skill set you rate yourself highest on our application, and will focus our interviews accordingly.

You will have the opportunity to play a critical role in a growing company while also operating with a high level of executive visibility. The team is focused on creating strategic solutions that steer customer and supplier behavior and influence key decision making. Our employees enjoy an environment of strong ownership and quick feedback from building, experimenting and iterating on high-impact work.

What You’ll Do:
Help us price millions of products in a complex, two-sided marketplace.
Measure the demand response to various business decisions, using both observational and experimental methods.
Address a variety of supply-side questions, such as assessing supplier responses to changes in the design of our marketplace.
Forecast demand and costs at scale using a combination of time series and machine learning techniques.

What You’ll Need:

Basic Qualifications:
Current student(graduating Summer 2025)pursuing a Ph.D. in Economics or a or a closely-related field (e.g., Marketing, Finance, OR, Statistics)with a 3.0 GPA minimum.

Preferred Qualifications:
Background in one of the following fields is preferred: applied microeconomics (e.g. labor, public, development, behavioral, experimental, household finance), empirical industrial organization, time series (e.g. applied macro, empirical finance), quantitative marketing, econometrics.
Proficiency in Python
Experience with SQL
Hands-on experience with big datasets

Please follow the application link below for full job information including benefits, perks, in-office policy, etc.