Senior Product Data Scientist (Remote, Americas)

Company Description

Shopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Shopify powers millions of businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more.

Job Description

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. 

As a Senior Product Data Scientist, primary responsibilities will include

• Proactively identify and champion projects that solve complex problems across multiple domains
• Partner closely with product, engineering and other business leaders to influence product and program decisions with data
• Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
• Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
• Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
• Influence leadership to drive more data-informed decisions
• Define and advance best practices within data science and product teams

Qualifications

• 5+ years of professional experience in Data Science, ​​​​​​solving high impact business problems
• Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
• Extensive experience using Python and a deep understanding of advanced SQL techniques
• Identifying key behavioral patterns that affect user’s lifetime value
• Experience partnering with PMs, Engineering, and UX to inform roadmaps and insights
• Experience defining success metrics and the ability to communicate what actions items are needed to drive those metrics
• Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
• Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders

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.