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
The Data Infra & Platform team is the backbone of all data-related processes and enables the Data Science team to develop and deploy a wide variety of algorithms and models that power the marketplace. Our infrastructure is used by the whole company for analytics, reporting, forecasting and research. We care about having a reliable infrastructure with quality data and building machine learning models that help our customers thrive.
As a Senior Analytics Engineer on the team, you will be contributing to data modeling, core data pipelines and data tooling (such as data discovery, metric management, etc.) at Faire. You will empower data scientists and analysts across the company to use data more effectively to drive business value.
Our team already includes experienced Data Scientists and Engineers from Airbnb, Uber, Facebook, Quora, Square, Etsy, and TripAdvisor. Faire will soon be known as a top destination for data science and analytics, and you will help take us there!
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