Staff (Lead) Data Scientist, Commercial Analytics

Company Description

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. Since 2006, we’ve grown to over 10,000 employees and generated over $500 billion in sales for millions of merchants in 175 countries. Every 28 seconds, an entrepreneur on Shopify makes their first sale.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion — and embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

Job Description

About the role

The Revenue Analytics team combines leading-edge analytical techniques with strong business acumen in order to drive better decisions and outcomes for Shopify’s Commercial Revenue org. Data Scientists play a crucial role in turning data into actionable insights that shape our GTM strategies. You will join a team of passionate individuals who are driven by personal growth and constantly challenging themselves.

As a Staff Data Scientist, you will partner with our Technology teams, Data Engineering, and Revenue Operations to develop analytical data products and data insights, with a focus on solving important problems. We are looking for talented data science leaders who can help us better understand our merchants and sellers so we can bring more of Shopify to more merchants. This role requires a deep commitment to continuous personal growth, as we work in a fast-paced and ever-changing environment.

At Shopify, we operate with low process and high trust, focusing on the impact we can make rather than adhering to a prescriptive corporate structure. We thrive on change and chaos, constantly pushing ourselves out of our comfort zones. We are committed to building products for the long-term, with the goal of making Shopify a 100-year company. If you are someone who can solve complex problems, adapt quickly, and excel in a dynamic environment, then this is the right place for you.

In this position, you will have the opportunity to work alongside empathetic yet driven individuals who are dedicated to mastering their craft. We value independent thinkers who are not afraid to challenge the status quo and seek growth opportunities. While caring deeply about your work is crucial, it is equally important to be able to see the bigger picture and occasionally set aside personal beliefs in order to serve and support a diverse range of customers.

Qualifications

• Extensive experience in business analytics - especially in the revenue space, forecasting methods , metrics definition, and working with data engineers on instrumentation and robust data pipelining
• Extensive experience 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 using Python including a strong grasp of object oriented programming (OOP) fundamentals
• Deep understanding of advanced SQL techniques and data modeling
• Well versed with various Business Intelligence platforms and tools
• 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 analytical data products, and continued iteration after launch
• Experience launching productionized machine learning models at scale is a plus
• Extensive domain experience in e-commerce, sales & marketing or SaaS is a plus

Additional Information

We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.

Closing date: Tuesday, August 8 at 8:00AM EDT. Successful candidates can expect to hear back from us wi