Wayfair

Economist III - Pricing Intelligence

Wayfair

 Boston, MA, US

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, and Competitive Intelligence team, consisting of ~15 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.
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:

  • PhD in Economics, Statistics or other quantitative field with an emphasis on causal inference.
  • 3+ 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.

Benefits & Perks
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Fun team outings like kayaking the Charles River and Boda Borg
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Early adopters of new technology within Wayfair
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Hackathons to explore new ideas
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Time Off:
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Paid Holidays
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Paid Time Off (PTO)
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Health & Wellness:
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Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
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Life Insurance
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Disability Protection (Short Term & Long Term Disability)
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Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
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Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
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Caregiver Services
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Financial Growth & Security:
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401K Matching (Employee Matching Program)
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Tuition Reimbursement
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Financial Health Education (Knowledge of Financial Education - KOFE)
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Tax Advantaged Accounts
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Family Support:
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Family Planning Support
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Parental Leave
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Global Surrogacy & Adoption Policy
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Professional Development & Recognition:
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Rewards & Recognition
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Global Employee Anniversary Awards
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Paid Volunteer Work
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Unique Perks:
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Employee Discount
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U.S. Bluebikes Membership
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Global Pod Outings
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Work/Life Balance:
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Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

Apply now

Job details

Location
 Boston, MA, US
Employment type
Full-time
Experience level
3–5 years
Position type
Professional / Applied economics
Contract duration
Permanent
Posted
Nov 13, 2026

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