Faire is looking to improve its search query and understanding problems to help local retailers and independent brands succeed.
Requirements
- 4 years of industry experience using machine learning to solve real-world problems
- Experience with search/query processing for product development
- Strong programming skills
- Experience with relational databases and SQL
- Ability to quickly implement state of the art algorithms from an academic paper (highly recommended)
- Master’s or PhD in Computer Science, Statistics, or related STEM fields (highly recommended)
- Experience with machine learning to solve real-world problems
Responsibilities
- Developing machine learning-powered search ranking models
- Adding personalization to search and discovery
- Determining answers to questions like how relevant is this product to this retailer and how can we infer that in real-time
- Creating real-time embeddings of users' interests and using them to power rankings
- Improving purchase flow
- Enabling A/B tests to more quickly converge when dealing with low sample sizes
- Contributing to team strategy and leading model development without supervision
Other
- 4 years of industry experience and a history of accomplishment and advancement in your Data Science career
- Strong communication skills and the ability to work with others in a closely collaborative team environment
- Ability to contribute to team strategy and to lead model development without supervision
- Must be able to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025
- Flexibility to work remotely up to 4 weeks per year
