Economist III, Supplier Ads Science
Wayfair
Seattle, Washington
Posted 1 weeks ago
Qualifications
Education
Ph.D. in Economics, Quantitative Marketing, Operations Research, or a related field
Responsibilities
Primary Duties
- Lead Development of Bidding Algorithms
- Causal Impact Modeling
- Auction Simulation & Optimization
- Collaborate Across Disciplines
- Advance Measurement Science
About This Role
Wayfair is one of the world's largest online destinations for the home. We are driven by cutting-edge data science and economics, powering intelligent decision systems that influence nearly every aspect of our business.
Key Objectives
- Lead high-impact initiatives at the intersection of bidding optimization, auction dynamics, and causal measurement.
Experience Requirements
Required
2+ years of post-Ph.D. experience (or equivalent industry experience in causal inference or marketplace economics)
Benefits & Perks
Benefits Package
- Paid Holidays
- Paid Time Off (PTO)
- Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
- Life Insurance
- Disability Protection (Short Term & Long Term Disability)
- Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
- Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
- Caregiver Services
- 401K Matching (Employee Matching Program)
- Tuition Reimbursement
- Financial Health Education (Knowledge of Financial Education - KOFE)
- Tax Advantaged Accounts
- Family Planning Support
- Parental Leave
- Global Surrogacy & Adoption Policy
- Rewards & Recognition
- Global Employee Anniversary Awards
- Paid Volunteer Work
- Employee Discount
- U.S. Bluebikes Membership
- Global Pod Outings
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Required Skills
Technical Skills
Proficient in Python and SQLExpertise in causal inference methods
Soft Skills
Strong written and verbal communication skills
Full Job Description
Economist III
Wayfair is one of the world's largest online destinations for the home. We are driven by cutting-edge data science and economics, powering intelligent decision systems that influence nearly every aspect of our business. The Supplier Ads Science group plays a central role in Wayfair's digital marketing ecosystem delivering systems that optimize real-time bidding, measure performance impact, and guide investment decisions through causal inference.
We are looking for an Economist III to lead high-impact initiatives at the intersection of bidding optimization, auction dynamics, and causal measurement. This role is ideal for candidates with strong theoretical and empirical backgrounds who are eager to solve complex problems with real-world data and deliver practical, scalable solutions.
What You'll Do:
Who You Are:
Nice-to-Haves:
Why You will Love Working With Us:
Wayfair is one of the world's largest online destinations for the home. We are driven by cutting-edge data science and economics, powering intelligent decision systems that influence nearly every aspect of our business. The Supplier Ads Science group plays a central role in Wayfair's digital marketing ecosystem delivering systems that optimize real-time bidding, measure performance impact, and guide investment decisions through causal inference.
We are looking for an Economist III to lead high-impact initiatives at the intersection of bidding optimization, auction dynamics, and causal measurement. This role is ideal for candidates with strong theoretical and empirical backgrounds who are eager to solve complex problems with real-world data and deliver practical, scalable solutions.
What You'll Do:
- Lead Development of Bidding Algorithms: Architect and refine auction bidding strategies that drive media efficiency and revenue. Model advertiser-platform dynamics and optimize bids across Google, Meta, and programmatic platforms using economic and ML theory.
- Causal Impact Modeling: Build and apply structural and reduced-form causal models (e.g., instrumental variables, difference-in-differences, DML) to measure the impact of bidding decisions and other marketing interventions.
- Auction Simulation & Optimization: Construct market simulation environments to test bidding strategies, study incentive compatibility, and evaluate counterfactuals.
- Collaborate Across Disciplines: Partner with engineering, data infrastructure, product, and marketing teams to integrate your models into production systems and influence business strategy.
- Advance Measurement Science: Design experimentation frameworks and contribute to the evolution of attribution models that combine observed and experimental signals.
Who You Are:
- Ph.D. in Economics, Quantitative Marketing, Operations Research, or a related field, with 2+ years of post-Ph.D. experience (or equivalent industry experience in causal inference or marketplace economics).
- Deep understanding of auction theory, mechanism design, or bidding systems in digital advertising.
- Expertise in causal inference methods (e.g., synthetic control, IV, regression discontinuity, machine learning for causal inference like Causal Forests or DML).
- Proven experience deploying econometric or machine learning models in production environments, ideally involving large-scale experimentation or real-time bidding.
- Proficient in Python and SQL; familiarity with distributed computing tools (e.g., Spark, BigQuery) and workflow orchestration (Airflow, Kubeflow) is a plus.
- Strong written and verbal communication skills able to simplify and translate complex results for diverse audiences, including executives and business stakeholders.
Nice-to-Haves:
- Familiarity with advertising platforms (Google Ads, Meta, DV360) and their auction mechanics.
- Experience with cloud computing platforms (GCP preferred).
- Knowledge of marketing mix modeling (MMM), multi-touch attribution (MTA), or media optimization frameworks.
- Contributions to internal Python libraries or reusable ML/causal modeling tooling.
Why You will Love Working With Us:
- Fun team outings like kayaking the Charles and Boda Borg
- Early adopters of new technology within Wayfair
- Hackathons to explore new ideas
- Time Off:
- Paid Holidays
- Paid Time Off (PTO)
- Health & Wellness:
- Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
- Life Insurance
- Disability Protection (Short Term & Long Term Disability)
- Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
- Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
- Caregiver Services
- Financial Growth & Security:
- 401K Matching (Employee Matching Program)
- Tuition Reimbursement
- Financial Health Education (Knowledge of Financial Education - KOFE)
- Tax Advantaged Accounts
- Family Support:
- Family Planning Support
- Parental Leave
- Global Surrogacy & Adoption Policy
- Professional Development & Recognition:
- Rewards & Recognition
- Global Employee Anniversary Awards
- Paid Volunteer Work
- Unique Perks:
- Employee Discount
- U.S. Bluebikes Membership
- Global Pod Outings
- Work/Life Balance:
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
How to Apply
Wayfair
About
Launched in 2002, Wayfair is an e-commerce leader specializing in home goods and furniture. Careers include logistics, customer service, and tech roles. Fun fact: Wayfair started as a collection of ov...
$77
/ hour
Wayfair pays $77 for Economist in Seattle, Washington, with most salaries ranging from $45 to $141. Pay can vary based on role, experience, and local cost of living.
Median
$77
Low
$45
High
$141
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