Data Scientist Opportunity
Winter 2026 Start Dates
Location: Boston, MA
Additional Details:

• This is a Boston based opportunity with a 4 day in office expectation.
• Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN.
• The salary range for this position is $94,000 - $99,000 per year. The base salary offered may vary depending on location, job-related knowledge, skills, and experience.

Wayfair's Forecasting & Replenishment Analytics team enables the Inventory Management function at Wayfair to achieve its mission of building an integrated approach to drive high product availability across CastleGate (CG), Physical Retail, and Dropship; combined with high turns, strong penetration, and optimal positioning for CG.

The team consists of data scientists who are responsible for developing and managing global large-scale demand forecasting systems and scalable analytics products that power Wayfair's complex supply chain and inform the business on its performance and forward looking outcomes.

The Forecasting & Replenishment Analytics team is looking for a data scientist to build analytics products, models, and data infrastructure to support inventory replenishment operations. Example projects include building forecasting models for E-commerce and Physical Retail stores, building forward looking projections of inventory bleed-down, and building automated infrastructure to collect data, refresh models, and update analytical tools daily.

What You'll Do:

• Build scalable analytics products in SQL, Python, and G-Suite visualization platforms (LookerStudio, Looker) that enable leadership and other internal customers to understand and manage performance, including forward looking models that evaluate the impact of our strategy on fulfillment activities, resourcing, and costs.
• Build automated infrastructure in Google Cloud Composer to load and transform data, run models or analytical frameworks, and update front end dashboards.
• Perform statistical analysis across large data sets to develop performance insights and forward looking projections of business outcomes.
• Make demand forecasting model enhancements to account for new business strategies that drive specific demand patterns.
• Build segment level performance projections to develop holistic views which indicate company wide trajectory across various operational KPI.
• Establish data structures that enable scalability in the processes and tools to monitor CG inventory performance across key KPIs (turns, availability, penetration, positioning) and allow for adjacent teams to consume that data.
• Communicate findings with colleagues from computer science, operations research and business backgrounds.

What You'll Need:
Basic Qualifications:

• MS in a quantitative field (Engineering, Operations Research, Mathematics, Economics) with a strong academic record.
• A highly analytical individual who can give structure to complex and often ambiguous data and modeling problems.
• Exceptional analytics skill set, including a high degree of comfort / expertise with Python and relational databases (SQL) on a daily basis with proven track record of insight development leading to action.
• Comfort operating with large data sets to identify trends, drill into specific details, make recommendations, and deliver upon desired outcomes.
• High attention to detail with ability to appropriately manage and prioritize projects and tasks appropriately that leads to results.
• Innovative problem-solving skills with a tenacity to develop ideas independently and thrive in a fast-paced start-up environment.
• Passionate about tackling complex supply-chain business problems from problem definition and business-case development to implementation.
• Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. This includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN.

Preferred Qualifications:

• Must have python in addition to SQL.
• Demonstrated ability to design, build, and own data pipelines end-to-end, ensuring data accuracy, scalability, and reliability.
• Demonstrated curiosity and interest in Artificial Intelligence and its applications in analytics and business.

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, Monday, Tuesday, Wednesday, and Thursday, and work remotely the other 1 day of the week.

Benefits & Perks - US:

• Full health benefits available (Medical, Dental, Vision, HSA/FSA) on day one for eligible employees.
• No-cost access to 2nd.MD, a virtual expert medical consultation and navigation service.
• Global Traveler Health Insurance through GeoBlue.
• 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching.
• Automatic enrollment into Basic Life and Accidental Death & Disability Insurance.
• 401(k) matching with immediate vesting.
• Paid Parental Leave, Surrogacy & Adoption Reimbursement and Caregiver Services.
• Tuition Reimbursement.
• Wayfair Employee Discount.
• Gym/Fitness Discounts (including Peloton, Wellhub and varying regional memberships).
• Exclusive access to thousands of perks & discounts through BenefitHub.
• Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits.

Purpose & Inclusion at Wayfair:
At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility:
At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.