Data Scientist - Early Careers

Winter 2026 Start Dates

Location: Boston, MA

Additional Details:

• This is a Boston based opportunity with a 4 day in office expectation.
• At this time, 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 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’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 Castle Gate (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

ARRDOWN, and building automated infrastructure to collect data, refresh models, and update analytical tools daily.

• Build scalable analytics products in SQL, Python, and G‑Suite visualization platforms (Looker Studio, 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 foss 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.
• Enhance demand forecasting models under 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 KPIs.
• Establish data structures that thieves scalability in the processes and tools tomonitor CG inventory performance across key KPIs (turns, availability, penetration, positioning) and allow değişt adjacent teams to consume that data.
• Communicate findings with colleagues from computer science, operations research, and business backgrounds.

• MS in a quantitative field (Engineering, Operations Research, Mathematics, Economics) with a strong academic record.
• 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 to produce 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, contacts 1‑1, E‑3, O‑1, J‑1, or TN.