Data Scientist I - Experienced Graduates (Winter 2025 start)

Winter 2025 Start

Location: Boston, MA

This is a Boston based opportunity with a 3 day in office expectation.

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with experienced graduates who have 1-3 years of experience.

Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Data Science team is focused on understanding and optimizing customer behavior as a key enabler for the company to move fast and iterate quickly on big business problems.

Leveraging cutting-edge technology and multi-terabyte datasets, analysts will collaborate closely with broader teams within Wayfair such as Product Management, Software Engineering, and Product Design, in order to solve challenging problems. Typical responsibilities include constructing SQL queries, analyzing customer or supplier behavior and trends to generate actionable insights, and developing new recommendations for stakeholders.

What You’ll Do:

• 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.
• Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth.
• 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 supply chain optimization.
• Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations.
• Develop data visualizations, including reports, dashboards, and analyses in Looker to distribute data insights in an easily digestible manner to over 7000 global employees.
• Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs.

What You’ll Need:

Basic Qualifications

• 1-3 years of transferable experience in a corporate environment, in an analytics, business intelligence, data science or engineering role performing quantitative analysis, including internship and co-op experience.
• Authorization to work in the United States without visa sponsorship by Wayfair now or in the future.
• Bachelors or Masters degree in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, Management or other quantitative discipline.

Preferred Qualifications

• Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.) or other structured programming language(s) (e.g. Python, Java, C)
• Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc.) and Looker a plus.
• Analytical, creative, and innovative approach to solving problems
• Strong written and verbal communication
• Ecommerce or retail analytics experience a strong plus

Wayfair's In-Office Policy:

All Boston-based interns, co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Tuesday, Wednesday, and Thursday, and work remotely the other 2 days of the week.

Why You’ll Love Wayfair:

• Time Off:
• Paid Holidays
• Paid Time Off (PTO)
• Health & Wellness:
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• Disability Protection (Short Term & Long Term Disability) 
• Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
• Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
• Caregiver Services
• Financial Growth & Security:
• 401K Matching (Employee Matching Program)
• Tuition Reimbursement 
• Financial Health Education (Knowledge of Financial Education - KOFE)
• Tax Advantaged Accounts
• Family Support:
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Professional Development & Recognition:
• Rewards & Recognition 
• Global