Economist III - Long Term Impact

Who We Are

Our Long Term Impact (LTI) Science team drives development of world‑class ML 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 ML.

We’re a highly collaborative, supportive team that values learning, psychological safety and intentional career development.

As a Senior Economist, 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.

• Lead 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.
• Develop robust solutions to infer or recover causal relationships from observational data, in a way that minimizes self‑selection or third‑variable problems.
• Develop and own communication strategy for both technical and business stakeholders (including executive documentation and progress updates)
• Act as a subject matter expert and thought leader on causal inference techniques; research industry trends and best practices and bring them to life at Wayfair.
• Provide mentorship and technical guidance to develop your team as well to influence broader science organization.

• PhD in Economics, Statistics or other quantitative field with an emphasis on causal inference.
• 3+ years of experience working as a professional ML 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.
• Track‑record of influencing non‑technical stakeholders on strategic direction by leveraging data‑driven insights; excellent written and verbal communication.
• 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.

• Experience with GCP (Big Query, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker)
• Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, Spark, etc.

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.

For more information about applying for a career at wayfair, visit our FAQ page here.

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