Senior Data Scientist - Machine Learning, Personalization

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommender systems, logistics, underwriting, and more - all with the goal of helping local retail thrive.

Job Description

The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.

As a Senior Data Scientist - Machine Learning on the Personalization team you’ll be responsible for developing machine learning-powered 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 ranking? 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 from Square, Quora, TripAdvisor, Instacart, and TripAdvisor; and the head of the team is an experienced manager from Airbnb who is also a professor of machine learning at UC Berkeley. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

You’re excited about this role because…

• You’ll be able to work on cutting-edge ranking 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 member of a fast growing company
• You like to solve challenging problems related to a two-sided marketplace

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems, and a history of accomplishment and advancement in your Data Science career 
• Experience with learning to rank (pointwise, pairwise, listwise models and understanding the trade-offs associated with each)
• Strong programming skills. The tooling/language isn’t important. (e.g., numpy, pandas, scikit-learn, R, Julia, etc.)
• 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 

Great to Haves:

• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Experience with Neural Network models for ranking
• Experience with de-biasing and new learning to rank models
• Ability to quickly implement state of the art algorithms from an academic paper

What We Offer:

• We’re growing fast. You will get in early on something that’s going to be special.
• We’re funded by the best VCs in the world.
• Our founding team is experienced and led the development of one of the top 25 apps in the US App Store (Square Cash). 
• Great technology stack. It’s fun to work with the best tools and the latest software.
• The business makes sense. It’s straightforward and provides clear value to both retailers and brands. You get to help change an entire industry for the better.
• It’s beautiful. Work on something that’s well-designed, following the footsteps of Apple and Square.