Job Description

Senior Data Scientist - Global Forecasting

Must be Onsite in Boston, MA (Monday-Thursday)

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. The Global Forecasting team sits within the Customer Services organization and is responsible for building ML models that predict the level of contacts that we expect to receive from customers each day. The accuracy of these predictions determine how many staff we need in order to deliver a high level of service and support for our customers.

We are looking for advanced analytical, action-oriented, and collaborative individuals that can translate business problems to actionable insights and data-driven solutions to influence operational results. Successful individuals in this role excel at both qualitative and quantitative analysis while also being eager to communicate upward and outward to tell a concise story.

What You'll Do:

• Design and develop machine learning models to address high-impact forecasting needs, ensuring alignment with Wayfair’s business objectives.

• Perform statistical analysis across large data sets and within defined segments to develop performance insights across a myriad of attributes.

• Own the data science lifecycle, including monitoring and ongoing optimization to drive sustained accuracy, performance, and business value.

• Develop key metrics and reporting to measure how forecasting initiatives are improving Wayfair’s performance and enabling teams to identify trends and root causes.

• Design and implement ETL pipelines to ensure timely, accurate, and reliable data ingestion and transformation.

• Collaborate with cross-functional partners in Product, Ops, and Engineering to translate complex business requirements into scalable analytics and ML solutions.

• Communicate insights model outcomes to both technical and non-technical stakeholders to inform strategic decisions and tell a concise story.

• Build prototypes and dashboards to translate large data sets into driving insights and action.

• Promote best practices in data modeling and documentation to ensure maintainability and team efficiency.

What You'll Need:

• Master’s degree in a quantitative field (e.g., Computer Science, Machine Learning, Mathematics, Statistics, Economics, or a related discipline).

• 3+ years of hands-on experience in Data Science, with a proven track record of delivering high-impact solutions.

• Advanced proficiency in Python and SQL for writing scripts and code in structured programming languages.

• Experience building and maintaining production-grade ML models using frameworks such as scikit-learn, TensorFlow, or PyTorch.

• Proficiency in data visualization tools (e.g., Looker, Tableau, or Data Studio) and navigating large-scale datasets.

• Strong analytical skills with the ability to navigate ambiguity, uncover insights, and propose actionable recommendations.

• Excellent written and verbal communication skills, with the ability to present technical concepts clearly to diverse audiences.

• High attention to detail and an ownership mindset in managing multiple, competing priorities simultaneously.

An Important Note about 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 - Thursday, and work remotely Friday.

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 ( 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.

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