Senior Data Scientist - Shipping & Risk Algorithms
Data Science & Engineering
At Shopify, we empower 600,000+ entrepreneurs all over the world. For over 10 years we have been super driven when it comes to using data insights to help drive our product direction and make things better for our merchants.
We are looking for passionate and hard-working Data Scientists for both our Shipping and Risk Algorithms’ teams! Working closely with the Product team, you will help to drive optimization in this area through the development of machine learning models that are scaled across our entire merchant base.
One incredibly important area of focus is Shipping costs. Shipping is usually one of the top marginal costs of running an online store. Working with our Shipping Services team, your work will help to optimize all areas of fulfillment which can have a huge impact on purchase conversion rates. One POWERFUL way to make commerce better for all of our merchants!
Understanding a merchant’s future potential is critical to Shopify’s unfolding vision. Traditional commerce systems focus on risk, but Shopify cares about the full spectrum of value. The Risk team at Shopify is responsible for building the scalable systems that detect and prevent fraud for our merchants and their customers. They build automated systems that scale machine learning to analyze customer behaviour, incoming orders and financial transactions. Their algorithms also power Shopify Capital, which offers cash advances and loans to eligible merchants.
You will need to have :
- Strong background in machine learning including experience implementing models at scale
- Extensive experience using Python (including scikit-learn) or similar languages
- Extensive experience analyzing data using SQL
It’d be great if you had :
- Previous experience using Spark
- Experience with statistical methods like regression, GLMs or experiment design and analysis
- Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools
If you’re interested in helping Shopify shape the future of commerce, click the “Apply now” button to submit your application. Please address your cover letter to Solmaz.