Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers---we are constantly iterating and innovating our product offering to create more value for the ecosystem.
On the Growth team, we’re looking for someone who’s comfortable working on interesting growth-related problems using both cutting edge and proven techniques. As a foundational member of a fast-growing company and team, you will be working closely with other data scientists, engineers, and product managers to provide effective support to help acquire retailers and brands at scale in an efficient manner and improve retention as well as lifetime value.
What you will be doing:
What it takes:
Faire is an online wholesale marketplace built on the belief that the future is local. There are over 1M independent retailers across North America alone doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect a thriving community of over 150,000 brands and independent retailers around the world. Picture your favorite boutique in town.
Toronto, ON, Canada
4-6 year