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.
Data Scientist II, Customer Technology Data Science
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.
What You'll Do:
As a Data Scientist, you'll play a critical role in uncovering insights that shape strategic decisions and improve business performance.
- Construct optimized code that processes information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations.
- Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth.
- Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core business metrics and consumer behavior.
- Design, execute and analyze A/B tests to make high-impact changes to the customer experience.
- Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems.
- Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL and Python to enable efficient and self-serve data access for stakeholders.
What You'll Need:
- Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Masters preferred.
- 3 - 5 years of work experience in a relevant field, such as analytics or data science.
- Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.
- Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.).
- Experience conducting quantitative analyses on large and complex data sets.
- Experience in leveraging modeling algorithms to derive business insights.
- Experience with experimental test design such as A/B testing.
- Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, required.
- Experience with data visualization software (e.g. Google Data Studio, Tableau, PowerBI); experience with Looker a plus.
- Analytical, creative, and innovative approach to solving problems.
- Strong written and verbal communication.
- Ecommerce or retail analytics experience is a plus.
