Economist III, Supplier Ads Science
Wayfair
Economist III, Supplier Ads Science
Job Description
Economist III, Supplier Ads Science
Location: Seattle, Washington, United States
Department: Data Science & Machine Learning
Team: Engineering & Technology
About the Role
Wayfair, a leading online home goods retailer, seeks an Economist III for its Supplier Ads Science group within the Data Science & Machine Learning department in Seattle, Washington. This role focuses on powering Wayfair's digital marketing ecosystem through advanced economics and data science, particularly in optimizing real-time bidding, auction dynamics, and causal measurement for supplier advertisements. The position involves leading high-impact projects that influence investment decisions and performance across Wayfair's advertising platforms, leveraging cutting-edge techniques to solve complex challenges with massive real-world datasets. While centered on ads science, the work supports broader logistics and operations by enhancing supplier engagement and inventory promotion efficiency. Ideal candidates bring strong theoretical and empirical expertise to deliver practical, scalable solutions that drive Wayfair's intelligent decision systems.
Key Responsibilities
- Lead initiatives at the intersection of bidding optimization and auction dynamics
- Develop systems for real-time bidding in supplier ads
- Measure performance impact using causal inference methods
- Guide investment decisions through economic modeling
- Solve complex problems with Wayfair's real-world data
- Deliver scalable solutions for digital marketing ecosystem
- Optimize ad performance in Wayfair's supplier network
- Collaborate with data science and machine learning teams
Required Qualifications
- Advanced degree in Economics, Statistics, or related field
- Strong theoretical background in econometrics and causal inference
- Experience with empirical analysis using large-scale real-world data
- Proficiency in auction theory and bidding optimization
- Demonstrated ability to lead high-impact initiatives
- Expertise in real-time bidding systems
Preferred Qualifications
- PhD in Economics or equivalent
- Prior experience in digital advertising or ad tech
- Background in causal measurement for marketing ecosystems
Required Skills
- Econometrics
- Causal inference
- Auction theory
- Bidding optimization
- Python or R programming
- Statistical modeling
- Large-scale data analysis
- Machine learning basics
- Real-time systems
- Leadership and communication
- Problem-solving
- SQL
- Experimental design
- A/B testing
Benefits
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement savings plan
- Generous paid time off and parental leave
- Professional development stipend and tuition reimbursement
- Flexible work arrangements in Seattle location
- Employee discounts on Wayfair products
- Wellness programs and mental health support
Wayfair is an equal opportunity employer committed to diversity and inclusion.
Locations
- Seattle, Washington, United States
Salary
190,000 - 260,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Econometricsintermediate
- Causal inferenceintermediate
- Auction theoryintermediate
- Bidding optimizationintermediate
- Python or R programmingintermediate
- Statistical modelingintermediate
- Large-scale data analysisintermediate
- Machine learning basicsintermediate
- Real-time systemsintermediate
- Leadership and communicationintermediate
- Problem-solvingintermediate
- SQLintermediate
- Experimental designintermediate
- A/B testingintermediate
Required Qualifications
- Advanced degree in Economics, Statistics, or related field (experience)
- Strong theoretical background in econometrics and causal inference (experience)
- Experience with empirical analysis using large-scale real-world data (experience)
- Proficiency in auction theory and bidding optimization (experience)
- Demonstrated ability to lead high-impact initiatives (experience)
- Expertise in real-time bidding systems (experience)
Preferred Qualifications
- PhD in Economics or equivalent (experience)
- Prior experience in digital advertising or ad tech (experience)
- Background in causal measurement for marketing ecosystems (experience)
Responsibilities
- Lead initiatives at the intersection of bidding optimization and auction dynamics
- Develop systems for real-time bidding in supplier ads
- Measure performance impact using causal inference methods
- Guide investment decisions through economic modeling
- Solve complex problems with Wayfair's real-world data
- Deliver scalable solutions for digital marketing ecosystem
- Optimize ad performance in Wayfair's supplier network
- Collaborate with data science and machine learning teams
Benefits
- general: Competitive salary and equity package
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plan
- general: Generous paid time off and parental leave
- general: Professional development stipend and tuition reimbursement
- general: Flexible work arrangements in Seattle location
- general: Employee discounts on Wayfair products
- general: Wellness programs and mental health support
Tags & Categories
Answer 10 quick questions to check your fit for Economist III, Supplier Ads Science @ Wayfair.
Related Books and Jobs
Economist III, Supplier Ads Science
Wayfair
Economist III, Supplier Ads Science
Job Description
Economist III, Supplier Ads Science
Location: Seattle, Washington, United States
Department: Data Science & Machine Learning
Team: Engineering & Technology
About the Role
Wayfair, a leading online home goods retailer, seeks an Economist III for its Supplier Ads Science group within the Data Science & Machine Learning department in Seattle, Washington. This role focuses on powering Wayfair's digital marketing ecosystem through advanced economics and data science, particularly in optimizing real-time bidding, auction dynamics, and causal measurement for supplier advertisements. The position involves leading high-impact projects that influence investment decisions and performance across Wayfair's advertising platforms, leveraging cutting-edge techniques to solve complex challenges with massive real-world datasets. While centered on ads science, the work supports broader logistics and operations by enhancing supplier engagement and inventory promotion efficiency. Ideal candidates bring strong theoretical and empirical expertise to deliver practical, scalable solutions that drive Wayfair's intelligent decision systems.
Key Responsibilities
- Lead initiatives at the intersection of bidding optimization and auction dynamics
- Develop systems for real-time bidding in supplier ads
- Measure performance impact using causal inference methods
- Guide investment decisions through economic modeling
- Solve complex problems with Wayfair's real-world data
- Deliver scalable solutions for digital marketing ecosystem
- Optimize ad performance in Wayfair's supplier network
- Collaborate with data science and machine learning teams
Required Qualifications
- Advanced degree in Economics, Statistics, or related field
- Strong theoretical background in econometrics and causal inference
- Experience with empirical analysis using large-scale real-world data
- Proficiency in auction theory and bidding optimization
- Demonstrated ability to lead high-impact initiatives
- Expertise in real-time bidding systems
Preferred Qualifications
- PhD in Economics or equivalent
- Prior experience in digital advertising or ad tech
- Background in causal measurement for marketing ecosystems
Required Skills
- Econometrics
- Causal inference
- Auction theory
- Bidding optimization
- Python or R programming
- Statistical modeling
- Large-scale data analysis
- Machine learning basics
- Real-time systems
- Leadership and communication
- Problem-solving
- SQL
- Experimental design
- A/B testing
Benefits
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement savings plan
- Generous paid time off and parental leave
- Professional development stipend and tuition reimbursement
- Flexible work arrangements in Seattle location
- Employee discounts on Wayfair products
- Wellness programs and mental health support
Wayfair is an equal opportunity employer committed to diversity and inclusion.
Locations
- Seattle, Washington, United States
Salary
190,000 - 260,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Econometricsintermediate
- Causal inferenceintermediate
- Auction theoryintermediate
- Bidding optimizationintermediate
- Python or R programmingintermediate
- Statistical modelingintermediate
- Large-scale data analysisintermediate
- Machine learning basicsintermediate
- Real-time systemsintermediate
- Leadership and communicationintermediate
- Problem-solvingintermediate
- SQLintermediate
- Experimental designintermediate
- A/B testingintermediate
Required Qualifications
- Advanced degree in Economics, Statistics, or related field (experience)
- Strong theoretical background in econometrics and causal inference (experience)
- Experience with empirical analysis using large-scale real-world data (experience)
- Proficiency in auction theory and bidding optimization (experience)
- Demonstrated ability to lead high-impact initiatives (experience)
- Expertise in real-time bidding systems (experience)
Preferred Qualifications
- PhD in Economics or equivalent (experience)
- Prior experience in digital advertising or ad tech (experience)
- Background in causal measurement for marketing ecosystems (experience)
Responsibilities
- Lead initiatives at the intersection of bidding optimization and auction dynamics
- Develop systems for real-time bidding in supplier ads
- Measure performance impact using causal inference methods
- Guide investment decisions through economic modeling
- Solve complex problems with Wayfair's real-world data
- Deliver scalable solutions for digital marketing ecosystem
- Optimize ad performance in Wayfair's supplier network
- Collaborate with data science and machine learning teams
Benefits
- general: Competitive salary and equity package
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plan
- general: Generous paid time off and parental leave
- general: Professional development stipend and tuition reimbursement
- general: Flexible work arrangements in Seattle location
- general: Employee discounts on Wayfair products
- general: Wellness programs and mental health support
Tags & Categories
Answer 10 quick questions to check your fit for Economist III, Supplier Ads Science @ Wayfair.
Related Books and Jobs