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Who we are

Our Long Term Impact (LTI) Science team drives development of world-class Machine Learning systems that estimate the long term impact of business decisions and customer actions. We build innovative ML products and services that provide insights to drive LT-aware decisions that improve our customer experience and loyalty in the long term, and ultimately grow our business. We have a modern tech stack including sophisticated capabilities around causal inference and Machine Learning. We’re a highly collaborative, supportive team that values learning, psychological safety and intentional career development.

As an Economist II, you'll be working to push the boundary of approaches to causal inference with rich, high-volume customer data, identifying drivers of business growth beyond A/B testing. With engineering partners you'll implement these best-in-class approaches as scalable solutions to drive broad impact across marketing, operations, and storefront. This role is an opportunity to lead how Wayfair approaches work at the intersection of data engineering and statistics.

What you’ll do

+ Guide R&D effort to develop innovative causal inference approaches that will extend current capabilities and develop new ML products to provide insights on LTI.

+ Work highly cross-functionally with business leadership, stakeholders, and partner science and engineering teams to drive the integration of model outputs into company-wide business decision-making and existing production systems.

+ Developing robust solutions to infer or recover causal relationships from observational data, in a way that minimizes self-selection or third-variable problems.

+ Develop communication strategy for both technical and business stakeholders (including executive documentation and progress updates)

+ Act as a thought leader on causal inference techniques; research industry trends and best practices and bring them to life at Wayfair.

Who you are

+ PhD in Economics, Statistics or other quantitative field with an emphasis on causal inference.

+ 0-1+ years of experience working as an Economist, ML Scientist or Research Scientist in causal inference. Consistent track record of autonomous delivery of DS/ML projects that drive measurable business impact.

+ Collaborative team player who wants to see themselves and others thrive.

+ Expertise in causal inference and interest in bringing best-in-class solutions to e-commerce space.

+ Takes a customer-centric approach to ideation and problem-solving

+ Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity

+ Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization

+ Strong SQL skills and excellent software engineering skills in Python

+ Nice-to-haves:

+ Experience with GCP (BigQuery, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker)

+ Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, Spark, etc.

This is a hybrid position open to both Seattle or Boston. Wayfair employees are in-office Tuesday-Thursday with remote flexibility on Monday and Friday.

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 Accomodations for Applicants form (https://docs.google.com/forms/d/1ElBqKaQYGR9j0NiQHQYCGbHkqKqN746Nk62pI32IyLU) .

Need Technical Assistance?

For more information about applying for a career at wayfair, visit our FAQ page here (https://www.aboutwayfair.com/careers/careers-faq) .

About Wayfair Inc.

Wayfair is one of the world’s 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’re 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 you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re 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. That’s why we’re 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 [email protected].