Economist II - Long Term Impact Team

Location: Boston, Massachusetts, United States

Department: Data Science & Machine Learning

Team: Engineering & Technology

About the Role

Wayfair's Long Term Impact (LTI) Science team within Data Science & Machine Learning focuses on building advanced ML systems to estimate the long-term effects of business decisions, particularly in customer actions, supply chain, and logistics operations. Based in Boston, Massachusetts, the Economist II role on this team involves pushing the boundaries of causal inference using rich, high-volume data from Wayfair's warehouse and fulfillment networks to identify drivers of sustainable business growth, enhanced customer loyalty, and optimized operations beyond traditional A/B testing. The role emphasizes innovative ML products that inform long-term strategies for improving customer experience in e-commerce logistics. The team operates with a modern tech stack featuring sophisticated causal inference and ML capabilities, fostering a collaborative environment that prioritizes psychological safety, continuous learning, and career growth. Economists will work closely with operations and logistics stakeholders to develop insights that drive LT-aware decisions, such as inventory management, delivery optimization, and supply chain efficiency, ultimately contributing to Wayfair's scalable growth in home goods fulfillment. This position is ideal for experts in econometrics seeking to apply their skills to real-world warehouse and logistics challenges at a leading e-commerce company, with opportunities to innovate at the intersection of data science and operations.

Key Responsibilities

• Develop ML systems for estimating long-term business impacts
• Apply causal inference to customer and operations data
• Analyze drivers of customer loyalty and repeat purchases
• Build models to optimize warehouse and logistics decisions
• Collaborate with Data Science and Operations teams
• Provide insights for LT-aware supply chain strategies
• Innovate with modern tech stack for causal ML
• Support A/B testing for logistics improvements
• Mentor junior economists on inference techniques

Required Qualifications

• Advanced degree in Economics, Statistics, or related field
• 3+ years experience in causal inference or econometrics
• Proficiency in Python or R for data analysis
• Experience with high-volume customer data
• Strong understanding of machine learning fundamentals
• Ability to collaborate in cross-functional teams
• Demonstrated problem-solving in business contexts

Preferred Qualifications

• PhD in Economics or Statistics
• Experience in e-commerce or logistics analytics
• Publications in causal inference
• Familiarity with Wayfair's supply chain data

Required Skills

• Causal inference
• Machine Learning
• Python
• R
• SQL
• Econometrics
• Statistical modeling
• Data visualization
• A/B testing
• Team collaboration
• Problem-solving
• Logistics analytics
• Customer behavior analysis
• Big data handling
• Communication

Benefits

• Competitive salary and equity package
• Comprehensive health and wellness benefits
• 401(k) matching and retirement plans
• Flexible remote and hybrid work options
• Professional development stipend
• Generous parental leave policy
• Employee discounts on Wayfair products

Wayfair is an equal opportunity employer committed to diversity and inclusion.