Senior Data Science Analyst, Wayfair
Search & Recommendations
Office located in Boston, MA
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
Office located in Boston, MA
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- 1.5+ years of professional experience in an analytical role (in addition to any graduate education)
- Analytics or Data Science experiences with e-commerce companies is a strong plus
- In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required
- In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required
- Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, highly preferred
- Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, highly preferred
- Strong written and verbal communication with a team player, highly collaborative attitude
- Ability to collaborate and proactively communicate with stakeholders
- Proven track record of taking ownership and driving results. Thrive in a fast-paced environment
- Strong business acumen, analytical skills, and technical abilities along with problem-solving skills
What the job involves
- Design, run and analyze the results of A/B tests of new recommendation algorithms and strategies; we also develop new testing and test analysis methodologies
- KPI reporting and monitoring; this includes anomaly detection tools and advanced measurement approaches
- Exploratory data analysis (e.g. clustering/segmentation) to generate new insights & inform our product recommendation roadmap
- Use and develop our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them
- Run open-ended exploratory data analysis to identify new ideas and opportunities
- Design and run A/B tests of our latest recommendations algorithms
- Proactively monitor our recommendation models to identify potential issues, determine root causes, and resolve
- Build new tools that allow us to be more productive and efficient
- Work closely and build productive relationships with our product, engineering and machine learning stakeholders
- Communicate key insights and recommendations to cross-functional executive leaders across the organization
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionise 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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