Data Scientist

What You’ll Do:

• Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs.
• Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations.
• Collaborate with leaders of functional areas (e.g. Product Management, Software Engineering, Product Design, Analytics) to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth.
• Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and consumer behavior.
• Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems including website funnel progression, customer segmentation and targeting, and customer engagement and behavior.
• Develop data visualizations via reports, dashboards, and analyses to distribute data insights in an easily digestible manner to over 10,000 global employees.

What You’ll Need: 

Basic Qualifications:

• Currently pursuing a Bachelors or higher in Data Science, Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, Management or other quantitative discipline, with the expectation that the degree will be obtained between December 2025 and Summer 2026 with a 3.0 GPA minimum
• Must be returning to the course of study following completion of the internship.
• Ability to commit to working 40 hours/week (9am-5pm, Monday-Friday) from June 2  - August 8, 2025 in our Boston office.
• You must be authorized to work in the United States without visa sponsorship by Wayfair now or in the future. 

Preferred Qualifications:

• Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.), Python, or other structured programming language(s) (e.g., Java, C)
• Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis
• Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc.) and Looker a plus.
• Experience with cloud technologies and tools including VertexAI, GBQ and GCS
• Analytical, creative, and innovative approach to solving problems
• Strong written and verbal communication
• Ecommerce or retail analytics experience a strong plus