Senior Data Scientist, Operations Analytics

This is a Boston-based opportunity with a 4-day in-office expectation.

You will join the Operations Analytics team focused on steering Wayfair's long-term strategic operations. The OA team supports long-term, high-scope, high-complexity and planning and business case questions within operations. We work closely across Operations Research, Network Management, Transportation & Delivery and other teams to ensure continuity between their near and medium term planning objective functions with our future state strategic goals.

What You'll Do:

• Work within a small but high-impact team focused on providing analytical firepower to a number of groups under the operations umbrella, with a focus on Fulfillment, Planning, and Analytics.
• Design and maintain models that drive strategic insight, packaging findings into concise and actionable recommendations, and selling the data story to our cross functional and senior stakeholders.
• Utilize your experience in SQL, python, and spreadsheet modelling to design and build tailored and robust sensitivity analyses that identify and address business value opportunities. Develop tools and dashboards that provide critical insights, enabling data-driven decision-making.
• Work in a fast paced, highly iterative environment that is responsive to the evolving needs of our operations functions and strategies.
• Drive strategic decisions on if, when, and where to open new Fulfillment Centers and Home Delivery Operations nodes, optimizing network speed and cost across a 5+ year horizon and across multiple FC functions.
• Drive development of strategic operational improvements within Fulfillment Centers using analytical modelling, from trailer unloading, carton putaway, pick efficiency, large parcel assembly, and more.

What You'll Need:

• 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, joins, etc. Hands-on experience and comfortability with Python for data manipulation, analysis, and modeling.
• Fluency in using gen-ai coding tools (e.g., cursor) as a force multiplier on top of strong foundational coding and analytical knowledge base.

Preferred Qualifications

• Experience (direct or through consulting) in a logistics, ecommerce, or supply chain organization.
• Ability to synthesize insights from undefined and open ended problem sets and articulate into clear, top-down evidence-backed narratives. Present complex information in a concise and understandable manner.
• Strong written and verbal communication skills, with experience building comprehensive and compelling slide decks and white papers.
• Solution-oriented & curious intellectual mindset and curiosity, with a passion for continuous learning and problem-solving.
• Strategic thinker, able to provide direction and support to the team in setting clear project goals, managing the execution of projects that align with business objectives.
• Experience with or knowledge of supply chain and logistics concepts is a strong plus.

Wayfairs 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.

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

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About Wayfair Inc.

Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.