Data Science Manager, Wayfair
Returns Optimization
$143-154k
+ Restricted stock units
More information about location
4 days a week in office
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
$143-154k
+ Restricted stock units
More information about location
4 days a week in office
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- The ideal candidate is a hands-on leader who can balance technical expertise with business acumen, fostering a culture of innovation and data-driven decision-making
- Successful individuals in this role excel at both qualitative and quantitative analysis while also being eager to communicate upward and outward to tell a concise story
- MS in a quantitative field
- A highly analytical individual who can give structure to complex and often ambiguous data and modeling problems
- Exceptional analytics skill set, including a high degree of comfort / expertise with Python or R and relational databases (SQL) on a daily basis with proven track record of insight development leading to action
- Willingness to do hands-on problem solving - including problem definition, prototype development, and work with Engineering to transfer solution to a scalable production environment
- Comfort operating with large data sets to identify trends, drill into specific details, make recommendations, and deliver upon desired outcomes
- High attention to detail with ability to appropriately manage and prioritize projects and tasks appropriately that leads to results
- Innovative problem-solving skills with a tenacity to develop ideas independently and thrive in a fast-paced start-up environment
What the job involves
- The CastleGate Product team is part of Wayfair’s broader Network Management organization and is responsible for building and optimizing the CastleGate offering across our global network to ensure it creates value for Wayfair, our Suppliers and Customers
- We're looking for a seasoned and strategic Data Science Manager to lead a team in developing a groundbreaking Returns Disposition Engine
- This engine will be a critical component of our supply chain and customer experience operations, using advanced analytics and machine learning to optimize the post-return process
- You'll be responsible for building and leading a team from the ground up, setting the technical direction, and delivering a solution that maximizes value for our company, suppliers, and customers via partnership with engineering
- Leverage arithmetic, statistical, and ML approaches to establish a new “profit max” Returns Disposition Engine
- Build dashboards (back end and front end) to translate large data sets (millions of rows of data) into insights
- Develop and own key metrics and reporting to measure how initiatives are improving Wayfair’s performance and enabling teams to identify trends, root causes and develop action plans
- Advanced programming/coding for data access, manipulation, and analysis
- Build scalable analytics models and frameworks from scratch
- Perform statistical analysis across large data sets
- Conduct A/B Testing (design, execute, and analyze A/B tests)
- Tech review junior team members work product
- Investigate trends and influence cross-functional partners to act on recommendations
- Develop new methods to improve experimentation capabilities to solve complex business needs
- Identify need for, develop and leverage advanced scalable statistical methods (relevant supervised and unsupervised ML algorithms) to perform exploratory analysis influencing cross functional strategy
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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