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, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred
- 4+ years work experience in a relevant field (in addition to any graduate education)
- Analytics or Data Science experience 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
- Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis
- Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap
- Able to manage multiple projects and deliver against aggressive goals
What the job involves
- The Customer Tech Data Science team is focused on understanding and optimizing customer behavior as a key enabler for the company to move fast and iterate quickly on big business problems
- The Customer Tech Data Science team aims to unlock & enable high quality Storefront insights and data capabilities at scale, driven by a robust and extensible platform of self-service capabilities across Customer Technology technology resulting in a higher-impact data-driven organization
- Our customers are internal Wayfair teams
- Specifically all teams and cross-functional partners on Storefront as well as teams who want to use Storefront-produced data to derive insights and take data-driven actions
- As a Data Scientist III for Customer Tech, your goal is to unlock insights and guide the business in the data domain
- This includes everything from advising on technical implementation tradeoffs and priorities (e.g. Storefront’s near real-time or experimentation data capabilities) to developing broad level strategic direction and vision in our customer data strategy and architecting the future data models to meet our users needs and anticipating impactful use cases
- All while maintaining data quality and analytical rigor
- To be successful, this role requires a blend of analytical experience, strong technical capability, ability to develop and influence business strategy, and stakeholder management; all applied to drive the quality, impactfulness, and vision of Wayfair’s customer data
- Define and own the strategic agenda to unlock insights and guide the business
- Run open-ended exploratory data analysis to identify new ideas and opportunities
- Consult on A/B tests of our latest technology being implemented (e.g. decoupled services, enhanced recommendations algorithms, new features) to ensure effective and accurate data capture for experimentation reporting
- Proactively monitor our data 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
- Proactively identify areas where advanced analytical efforts can produce a strong value add and work them into the road map
- 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 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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