Machine Learning Scientist II - Marketing & Measurement Science

Location: Boston, Massachusetts, United States

Department: Data Science & Machine Learning

Team: Engineering & Technology

About the Role

Wayfair's Data Science and Machine Learning teams power measurement systems that optimize marketing investments, enhance customer experiences, and drive long-term value across the company. The Measurement & Attribution team focuses on causal inference methodologies, attribution models, and experimentation frameworks to accurately gauge the business impact of marketing and product initiatives. This Machine Learning Scientist II role involves designing and validating advanced statistical and ML models to answer critical business questions, such as estimating marketing return on investment. Reporting to the Measurement & Attribution team in Boston, Massachusetts, the scientist will collaborate across departments to develop tools that inform strategic decisions. While Wayfair's logistics and operations benefit indirectly from these insights through optimized marketing that boosts demand forecasting and inventory management, the role centers on marketing science rather than direct warehouse or supply chain tasks. The position demands strong technical expertise in ML and statistics to support Wayfair's expansive home goods e-commerce operations. This opportunity suits experienced ML professionals passionate about causal analysis in a high-impact e-commerce environment, contributing to scalable systems that underpin Wayfair's growth in online retail logistics and customer fulfillment.

Key Responsibilities

• Design and validate statistical and ML models for business questions
• Develop causal inference methodologies
• Build attribution models for marketing impact
• Create experimentation frameworks
• Measure true business impact of marketing investments
• Inform company-wide decisions with advanced tools
• Collaborate with marketing and product teams
• Improve customer experience measurement systems
• Drive long-term value through data-driven insights

Required Qualifications

• Advanced degree in Statistics, Computer Science, or related field
• 3+ years experience in machine learning or data science
• Proficiency in causal inference methodologies
• Experience with attribution modeling
• Strong programming skills in Python or R
• Knowledge of experimentation frameworks
• Ability to design and validate statistical models
• Experience estimating marketing ROI

Preferred Qualifications

• PhD in relevant field
• Experience in e-commerce marketing analytics
• Publications in causal inference or ML
• Familiarity with Wayfair's tech stack

Required Skills

• Machine Learning
• Causal Inference
• Statistical Modeling
• Python
• R
• Data Analysis
• Attribution Modeling
• Experimentation Design
• Marketing Analytics
• SQL
• Big Data Tools
• Problem-Solving
• Collaboration
• Communication
• Business Acumen

Benefits

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) matching program
• Generous paid time off and parental leave
• Professional development stipend
• Flexible work arrangements
• Employee discounts on Wayfair products
• Wellness and mental health support

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