Improve the quality of recommended assortments and deliver high-quality recommendations in real time to engage and delight new clients
Requirements
- Solid understanding in modeling and experimentation
- Proficiency in deploying apps in Python
- Experience with deep learning, weighted re-ranking, genAI, or any other state of the art technique
- Experience with machine learning and data projects, from inception to production
- Strong understanding of data science concepts and techniques
Responsibilities
- Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations
- Manage experiments to test new features, including any communication of the experiments’ results to stakeholders, and support the eventual launch of the feature
- Solve problems related to recommendation ranking and assortment generation
- Productionize models and systems partnering with our data platform team for real-time applications
- Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs
- Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure
Other
- Strong cross-functional, communication skills that help simplify and move complex problems forward with business partners
- Compassionate team player with a growth mindset
- Innovative and inspired to take on new challenges
- Degree in a quantitative field such as Computer Science, Statistics, Physics or a related field
- Comprehensive compensation packages and inclusive health and wellness benefits
