Senior Data Scientist, Revenue Acceleration - Marketing (Remote, Americas)

Company Description

Shopify is on a fast-moving mission to make the best products for merchants, buyers, and partners around the globe — and data science & engineering plays a vital role in building that future. Here are just some of the stories from the engineering teams who build and scale Shopify.

Job Description

Shopify is the world's first 'retail operating system'. It has evolved over 17 years of making commerce better for everyone. Leveraging our data has always been essential to this mission. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. We care about pushing products and the business forward, with a focus on solving important problems rather than specific tools.

The Revenue Acceleration Data Science team (RA) drives Shopify’s go-to-market machine with data and insights. Partnering closely with Sales, Marketing, Account Management and Support teams, RA guides key business decisions to bring more Shopify to more merchants, with a specific focus on larger brands.

As a Senior Data Scientist, you’ll help shape business decisions directly impacting Shopify’s revenue through collaboration and experimentation with technical and non-technical stakeholders. You’ll mentor other data scientists and operate as a technical guide for the team. If building the future of go-to-market growth for a company obsessed with empowering entrepreneurs and brands excites you, then this role is for you.
 

Responsibilities:

• ​​​​​​Proactively identify and champion projects that solve complex problems across multiple domains, with a special focus on Marketing
• Partner closely with Marketing, Sales, 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

• Extensive experience within commercial operations guiding business decisions in Marketing, Sales, and/ or Account Management domains to drive KPIs such as revenue and profitability. 
• Proven expertise in designing and running experiments (i.e. A/B Testing), as well as non-experiment inference techniques.
• Experience building machine learning models (e.g. propensity models, recommendation system).
• Strong Python and SQL skills. 
• Strong project management skills with demonstrated track record of guiding projects with multiple stakeholders.
• Experience mentoring other data scientists.
• Proven track record creating data product strategies, shipping data products, iterating after launch.

It would be great if you had:

• Experience setting up experiments in large, B2B and/or SaaS commercial organizations
• Previous experience working at a large technology company
• Track record in marketing analytics, marketing attribution and budget optimization
• Exposure to CRM tech stacks
• Experience deploying machine learning models into production
• Familiarity with advanced machine learning frameworks
• Analytical consulting experience
• Experience data modeling: designing and building building data pipelines and driving ETL design decisions

Additional Information

We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. 

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.

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 close to what we’re looking for, please consider applying.