Senior Data Scientist - Revenue Acceleration
- Canada
- Data Science & Engineering
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 $496 billion in sales for 2 million 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
- Embrace differences and disagreement to get shit done and move forward
- Work digital-first for your daily work
About the role
The Revenue Acceleration Data Science team drives Shopify’s go-to-market machine with data and insights. The team’s mission is to increase Shopify’s revenue and profitability and the team's impact is grounded in experiment-based findings.
As a Staff Data Scientist, you will use elements of analytics, machine learning, experimentation, and build data products to increase Shopify’s revenue and profitability.
Qualifications
You will need to have:
- Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
- Deep understanding of advanced SQL techniques
- Experience designing and running experiments (e.g. A/B test)
- Experience building data pipelines and driving ETL design decisions
- Experience creating data product strategies, shipping data products, iterating after launch, and trying again
- Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
- Experience working with commercial organizations (e.g. Sales, Marketing, Account Management, Support, etc…)
- Experience building machine learning models (e.g. propensity models, recommendation system, etc…)
- Experience setting up experiments in commercial organizations
- Previous experience working at a large technology company
We hire people, not resumes. If you think you’re right for the role, apply now.
All your information will be kept confidential according to EEO guidelines.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no background in programming or computer science. He’s now a Director of Engineering. Spanning 10 jobs on 7 teams in 9 years, Ben’s Shopify career path has twisted and turned as he’s worked relentlessly to pursue a career as an engineer and adapted to the pace of change—all fuelled by personal and professional hypergrowth.
Ben’s growth trajectory
2014-2016
- A support advisor for 2 years
- Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
- Eventually became a software dev
2017-2019
- Helped launch first finance product for merchants
- Became senior dev and launched new support contact centre
- Led a team as a dev manager
2020-2022
- Scaled a team from 4 to 60+ as a senior dev manager
- Became Director for Support and CX Engineering