Data Scientist - II

Location: Bangalore, India

Department: Data Science & Machine Learning

Team: Engineering & Technology

About the Role

Wayfair's Customer Technology Data Science team drives quantitative insights from over 100M daily website clicks and millions of customer interactions to optimize behavior on websites and mobile apps. As a Data Scientist II based in Bangalore, India, you will analyze massive datasets, build ML models, and run A/B tests to enable rapid iteration on key business challenges in an enterprise obsessed with data. The role emphasizes balancing strong coding skills with impactful analysis to enhance customer discovery and purchase of home goods. This position requires compliance with a hybrid work schedule and focuses on powering Wayfair's fast-moving e-commerce platform. Team members enjoy tackling complex problems at the intersection of data science and customer technology, contributing directly to business growth through optimized user experiences. Preferred candidates have e-commerce experience and advanced quantitative backgrounds.

Key Responsibilities

• Analyze customer behavior data from Wayfair websites and mobile apps
• Develop machine learning models to optimize customer experience
• Conduct A/B tests to iterate on website features quickly
• Perform quantitative analysis to solve big business problems
• Collaborate with engineering teams to deploy data-driven solutions
• Build dashboards and visualizations for stakeholder insights
• Leverage over 100M daily clicks data for optimization
• Balance coding with business impact in fast-paced environment

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• 3+ years of experience in data science or machine learning roles
• Strong proficiency in Python or R for data analysis and modeling
• Experience with SQL for querying large datasets
• Ability to conduct quantitative analysis on customer behavior data
• Familiarity with A/B testing and experimentation frameworks
• Experience working with web analytics tools

Preferred Qualifications

• Master's or PhD in a quantitative field
• Experience in e-commerce or customer-facing data science
• Based in Bangalore, India with hybrid work availability

Required Skills

• Python
• R
• SQL
• Machine Learning
• Statistical Modeling
• Quantitative Analysis
• A/B Testing
• Data Visualization
• Web Analytics
• Customer Behavior Analysis
• Coding Proficiency
• Experimentation Design
• Big Data Handling
• Problem-Solving
• Cross-functional Collaboration

Benefits

• Hybrid work schedule in Bangalore, India
• Work on high-impact data science projects powering Wayfair's enterprise
• Opportunity to solve big business problems with massive datasets
• Collaborative team environment in Customer Technology Data Science
• Fast iteration cycles on customer-facing features
• Exposure to millions of daily customer interactions

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