Senior Data Scientist, Operations Analytics

Join Wayfair’s Operations Analytics team in Boston as a Senior Data Scientist focused on long-term, high-complexity planning and business case work. You will build models, run sensitivity analyses, and translate findings into tools and recommendations that help optimize the fulfillment network and operational improvements across a multi-year horizon.

In this hybrid role, you’ll work with a small, high-impact team supporting multiple groups under the operations umbrella, with a focus on Fulfillment, Planning, and Analytics . The work is highly iterative and responsive to evolving operational needs, giving you room to apply strong quantitative skills to decisions that matter.

What you’ll do

• Partner within a small but high-impact team delivering analytical support across operations groups, especially Fulfillment, Planning, and Analytics.
• Design and maintain strategic models, then package results into concise, actionable recommendations for cross-functional and senior stakeholders.
• Use SQL, Python, and spreadsheet modelling to build tailored sensitivity analyses that identify and address business value opportunities.
• Develop tools and dashboards that surface critical insights to support data-driven decision-making.
• Operate in a fast-paced, highly iterative environment aligned to the changing needs of operations functions and strategies.
• Drive strategic decisions on if, when, and where to open new Fulfillment Centers and Home Delivery Operations nodes , optimizing both network speed and cost across a 5+ year horizon and across multiple FC functions.
• Lead analytical modelling for operational improvements within Fulfillment Centers, including areas such as trailer unloading, carton putaway, pick efficiency, large parcel assembly, and more.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related discipline with a strong academic record.
• Experience in an analytics or data science role performing quantitative analysis and delivering actionable recommendations from findings.
• Advanced proficiency in SQL , including knowledge of aggregate functions and joins.
• Hands‑on experience and comfortability with Python for data manipulation, analysis, and modelling.
• Fluency in using gen-ai coding tools (e.g., cursor) as a force multiplier, built on strong foundational coding and analytical knowledge.

Tools & technologies

• SQL
• Python
• Spreadsheet modelling
• Gen-ai coding tools (e.g., cursor)

In-office policy

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

Compensation: USD 121,000 - 132,000 per year.