Degree in Computer Engineering
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.
You’ll work on a diverse set of problems such as optimizing reverse logistics and freight costs, determine optimal pricing for products on resale channels, compute optimal credit limits, and grow Faire’s subscription program. You will be working closely with other data scientists, engineers, and product managers to drive projects that derive value from our unique, rich, and rapidly growing data on two sided marketplace.
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