Data Scientist, Wayfair
Customer Technology
A global online homeware marketplace
Be an early applicant
A global online homeware marketplace
1001+ employees
Be an early applicant
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Masters preferred
- 3+ 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
What the job involves
- 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
- Construct optimized code that massages 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
- Develop data visualizations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionize online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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