About the role
Shopify enables entrepreneurs to better design, set up and manage their online stores. At its core, Shopify is a "retail operating system" that not only facilitates online shopping, but can cross-sell on social media platforms. With over 820,000 merchants on the Shopify platform — if combined into one "big bucket" — make it the third largest e-commerce retailer in the U.S. Shopify is able to take the large economies of scale of the nearly 1 million merchants on its platform and deliver features that allow them to compete against the biggest retailers and brands on the planet.
The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of retail data to work to make our merchants more successful. From delivering merchandising insights, to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to platform via an array of open source tools. But what does “impact” really mean? It means solving merchant problems at scale...take money for example. Most small businesses need loans at some point to grow and sustain their activities. By algorithmically solving the risk assessment for the loan process, Shopify has facilitated over $500 million in capital loans to small business owners, since it can better understand a business versus a traditional bank. That’s one of many different product-lines looking for Senior Data Scientists to partner with and help drive value for our merchants.
One incredibly important area of focus in the eCommerce world are 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. And, with the launch of Shopify Fulfillment Network, there is a whole new range of data products to be built!
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. To date we’ve loaned over $500 million and counting!
Our Platform team helps merchants meet 100% of their individual needs through apps and services. The endless diversity of our merchants means that each of them requires niche features in commerce that don’t necessarily align with Shopify’s core feature. This team directly impacts Shopify by solving diverse, individual merchant problems at scale through apps and services created by our third party partner ecosystem and we want to make sure that we are as data informed as we can in this approach. With tens of thousands of app developers and partners in our ecosystem, this team helps build recommendation systems around which ones are best suited to a merchants needs.
Every day thousands of new entrepreneurs sign up for Shopify with widely varying levels of skills. The Start product line exists to supercharge aspiring entrepreneurs' abilities to become successful with the best guidance, network, and motivation possible. To do this, we need the help of dedicated, versatile Senior Data Scientists to help us better understand our aspiring entrepreneurs and how we can best help them onboard and get started with Shopify. What could be more rewarding than helping budding entrepreneurs make their first sale!?
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 Surina.
Closing Date: August 30th at 9AM EDT
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
|Senior Manager, Insights Data Science||Data Science and Engineering||Ottawa, Canada|