Staff Data Scientist, Faire

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with search/query processing for product development
• Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch,
• Solr, FAISS)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• Experience with relational databases and SQL
• The ability to contribute to team strategy and to lead model development without supervision
• Strong communication skills and the ability to work with others in a closely collaborative team environment

Desirable

• As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery
• You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
• Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
• You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
• You want to use machine learning to help local retailers and independent brands succeed
• You want to be a foundational team member of a fast growing company
• You like to solve challenging problems related to a two-sided marketplace