Data Scientist Lead- Money
Data Science & Engineering
At Shopify, we empower 600,000+ entrepreneurs all over the world. We're looking for hard-working, passionate people to help us make commerce better. 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.
This is an incredibly exciting and unique time to join the Money team! At a very simple level, the Money product line is responsible for the movement of financial transactions between Shopify, our merchants and their customers. This includes everything from evaluating risk, payment processing, billing, and balances. As Shopify continues to expand globally and the volume of our transactions increases, we are are looking for a Machine Learning Lead to own the data strategy and integration around every single financial program we run and every financial transaction we process!
Shopify offers a professional online storefront, a payment solution to accept credit cards (Shopify Payments), Shopify POS to power retail sales, and Shopify Capital to provide merchant cash advances to merchants to finance their operations. You and your team will help to drive optimization in this area through the development of machine learning models that are scaled across our 500,000+ merchants 🚀
You'll need to have:
- Technical leadership and/or management experience
- Strong background in machine learning including experience implementing at scale
- Extensive experience using Python (including scikit-learn) or similar languages
- Extensive experience analyzing data using SQL
It'd be great if you have:
- 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 us shape the future of commerce, click the “Apply for this job” button to submit your application. Please address your cover letter to Sam Padilla Torres.
Experience comes in many forms, many skills are transferable, and passion goes a long way. If your experience is this close to what we’re looking for, consider applying. We know that diversity of thought makes for the best problem-solving and creative thinking, which is why we're dedicated to adding new perspectives to the team and encourage everyone to apply.