Data Scientist I - Early Careers

February 2026 Start Dates Location: Toronto, ON This job posting is for an existing vacancy. Please click here/refer to Wayfair’s Career Page for information about how Wayfair uses AI to enhance its recruiting and hiring processes. Additional Details: This is a Toronto based opportunity with a 3 day in office expectation. 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 Data Science is the engine that powers an enterprise obsessed with data. The Customer Technology team builds and scales the platforms that enable Wayfair to deliver exceptional customer experiences. Join Wayfair’s Customer technology team to protect and optimize the foundational layer of our customer experience. Responsiveness and stability are critical drivers of organic discoverability, conversion, and customer trust. You will build the monitoring frameworks, experimental guardrails, and data products that ensure every customer has a lightning-fast journey. You’ll work cross-functionally with Engineering and Product teams to translate technical performance signals into actionable business insights that empower decision-making across the company. What You’ll Do: Track Platform Health & Performance: Drive the daily monitoring of system health & speed across mobile and web platforms. You will identify performance trends and regressions, providing clear feedback to engineering teams to ensure a high-quality customer experience. Build Scalable Data Pipelines: Design and maintain data architectures that connect technical performance signals with customer behavior. You will help create a unified view of the customer journey and close data gaps across platforms. Support Data-Driven Experimentation: Implement technical guardrails within our experimentation platform. You will analyze how new features impact the overall user experience and platform responsiveness, providing data-backed recommendations to product stakeholders. Deep-Dive Analysis: Conduct deep-dive analyses to understand the technical drivers of site performance. You will attribute changes to specific features or services and identify opportunities to improve the customer funnel. Drive Strategic Visibility: Develop high-visibility dashboards to track our technical roadmap. You will link technical optimizations to key business metrics, quantifying how performance improvements drive conversion and customer growth. What You’ll Need: Basic Qualifications Bachelor’s or Master’s degree in a quantitative field (e.g. Mathematics, Computer Science, Engineering, Economics, or a related field). Experience in an analytical or data science role (internship experience included). Hands-on proficiency in SQL (BigQuery/Spark) for large-scale data manipulation and Python for data analysis and pipeline automation. Foundational understanding of experimental design (A/B testing) and statistical analysis. Experience with data visualization tools (e.g., Looker, Tableau, or similar) to communicate complex data simply. Ability to collaborate effectively with technical (Engineering) and non-technical (Product) stakeholders. Demonstrated curiosity and interest in Artificial Intelligence and its applications in analytics and business Preferred Qualifications Who You Are: A Data Storyteller: You can navigate messy datasets to find a clear narrative and explain the "so what" to your partners. Naturally Curious: You have a passion for pulling on threads; when you see an anomaly in the data, you are driven to find the root cause. A Systems Thinker: You understand that small technical changes can have large downstream impacts on the customer experience. An Owner: You take pride in the reliability of your work and proactively identify areas where analytics can add business value. A Team Player: You thrive in a fast-paced, highly collaborative environment and enjoy working across different disciplines. Benefits & Perks - Canada In addition to provincial healthcare, Wayfair offers Canadian employees additional extended health care through Desjardins. 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. Registered Retirement Savings Plan with day one vesting. Paid Parental Leave and Surrogacy & Adoption Reimbursement. Tuition Reimbursement. Personalized financial planning through LearnLux. Wayfair Employee Discount. Gym/Fitness Discounts (including Peloton, GoodLife Global ClassPass). Exclusive access to thousands of perks & discounts through Perkopolis and 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. Wayfair's In-Office Policy: All Toronto-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.