Grailed is looking for a Staff Data Scientist to drive personalization, recommendation, and product marketplace improvement efforts. The ideal candidate is able to think like a Grailed user as well as a business owner – understanding how data impacts a fashion-forward user experience and also how it is generated and leveraged – while bringing a strong technical background to the role. Specifically, the role requires an understanding of dimension reduction techniques, predictive modeling (statistical or ML), and other advanced analytic methods. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products to help buyers find their Grail and sellers maximize their GMV. This role will work with our data in Snowflake, develop models in Python, collaborate with ML engineers to structure data for consumption, and coordinate with Product and business unit leaders to align data product development with business objectives.
In this role, you will:
- Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems
- Be able to autonomously and proactively identify business problems that could benefit from data solutions, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to execution
- Establish best practices for training and development of data models; performance evaluation and monitoring; maintenance, etc.
- Own the deployment of trained models into production in colla...
