Data Scientist II, Customer Technology Wayfair

2.0 - 6.0 years

0 Lacs

karnataka

On-site

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems. At their core, the Customer Tech Data Science team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. As a Data Scientist at Wayfair, you will play a critical role in uncovering insights that shape strategic decisions and improve business performance. You will conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. You will champion the use of emerging technologies to transform how data is explored and insights are uncovered. Additionally, you will become a subject matter expert on key business metrics and customer behavior, drive innovation in business analysis, collaborate with cross-functional partners, design and interpret A/B tests, and build scalable dashboards and reports using various tools. To be successful in this role, you should have a Bachelor's degree in a quantitative discipline, 2-4 years of work experience in analytics or data science, proficiency in programming languages like Python, R, or SAS, strong knowledge of SQL, experience in conducting quantitative analyses on complex datasets, familiarity with data visualization software, and excellent analytical, communication, and problem-solving skills. Experience in e-commerce or retail analytics is a plus. Wayfair is a global online destination for home goods, committed to industry-leading technology and creative problem-solving. Join us for rapid growth, continuous learning, and dynamic challenges that will define the most rewarding work of your career. Your personal data is processed in accordance with Wayfair's Candidate Privacy Notice. For any privacy-related questions or requests, please contact dataprotectionofficer@wayfair.com.,

Posted 2 weeks ago

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