Wayfair is looking for a Data Science Manager to lead a team in developing a groundbreaking Returns Disposition Engine to optimize the post-return process within their CastleGate supply chain service.
Requirements
- 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
- Identify need for, develop and leverage advanced scalable statistical methods (relevant supervised and unsupervised ML algorithms) to perform exploratory analysis influencing cross functional strategy
Responsibilities
- 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)
Other
- MS in a quantitative field
- A highly analytical individual who can give structure to complex and often ambiguous data and modeling problems
- 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
- Employees will work in the office on designated days, Monday - Thursday, and work remotely Friday.
