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 economists-science community with quarterly hack-a-ton, weekly reading groups in causal inference, forecasting, and ML. We work in close collaboration with engineering, data science, and product teams as well as with commercial teams, and we have the 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 three 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 Youll 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 Youll Need
Basic Qualifications Having a Ph.D. or PostDoc in Economics or a closely related field (e.g., Marketing, Finance, or Statistics) with 0-1 years of industry experience. Degree completion or PostDoc conclusion expected by Summer 2026.
Preferred Qualifications Background in one of the following fields is preferred:
Proficiency in Python Experience with SQL Hands-on experience with big datasets Appetite for collaborating in a highly interdisciplinary environment with other social scientists, computer scientists, statisticians, operations researchers, and engineers.
Passion for communicating complex material in a concise and precise way.
An Important Note about Wayfairs In-Office Policy
All Boston-based corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days (Tuesday, Wednesday, and Thursday) and work remotely on Monday and Friday. This role is also open to sit in Toronto, Seattle, or Mountain View.
Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accommodations for Applicants form.
Need Technical Assistance
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About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world, we are reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We are a community of innovators, risk-takers, and trailblazers who celebrate our differences and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer.
We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice: https://www.wayfair.com/careers/privacy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotection@wayfair.com.