Staff Data Scientist - Checkout (Remote, United States)

Company Description

At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.

Shopify is a digital-by-design company, permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.

Job Description

The Core Data Science Checkout teams combine leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants. 

They work closely with product partners at every step in the decision-making lifecycle to ensure the best possible checkout experience for every sales channel of digitally native merchants of any scale. 

As a Staff Data Scientists, you will partner with Product and Engineering to develop experiments and data products, with a focus on solving important problems rather than using specific tools. We are looking for talented data science leaders who can help us better understand our merchants and buyers so we can help them on their journey.

Qualifications

• 7+ years in a data science role solving large-scale, high impact business problems

• Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team

• Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining

• Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals

• Deep understanding of advanced SQL techniques

• Experience working with various levels of business stakeholders, from c-suite to Data Science senior leadership

• Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking

• Experience creating data product strategies, building data products, and continued iteration after launch

• Experience launching productionized machine learning models at scale is a plus

• Extensive domain experience in e-commerce, marketing or SaaS is a plus

Additional Information

We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖

Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

Interested, but not ready to apply? 
Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering

At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.