Find a data & analytics job at Shopify
We're changing the face of retail
Shopify is looking for data-savvy, passionate people to join its growing data engineer, data analyst and data science teams.
Data at Shopify
We power decision-making of both our merchants and internally with the data we collect, process and interpret. We are a diverse team of data engineers, data analysts and data scientists.
Our data products, data pipelines and data warehouse are used by 100's of thousands of merchants and millions of their customers. Our data teams are typically quite small so there's a lot of opportunity to have an immediate impact.
On the data platform side, we are building a near-realtime data ingestion system and a near-realtime data warehouse. For our computational layer, we rely on Spark and our YARN cluster. We primarily write code in Python and Scala.
On the data science side, we are developing recommendations to make merchants more productive. For example, we give marketing recommendations to tell a merchant where / when / how she should run a marketing campaign. Tools we typically use are Python, PySpark, TensorFlow, Python Notebooks and Python machine-learning libraries such as Pandas, Scikit-learn, NLTK, Numpy and Scipy.
On the data analyst side, we provide actionable insights to our business users. We tell them pro-actively what's happening in the business, why things are changing by running A/B experiments and we help them to make better decisions. We are big users of Presto, Mode Analytics and Python.
Data is powering Shopify, and if you want to be part of making commerce better for everyone by using data then checkout our job openings below. If you can’t find something that suits your skills or expertise, sign up to receive email notifications about new data & analytics job opportunities.
We have locations in Ottawa, Toronto, Montreal, San Francisco, and Waterloo. We also work remotely in cities across the globe.
We take care of our employees
We offer world-class perks and benefits to our full-time employees