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Senior Data Scientist - Revenue Acceleration

Senior Data Scientist - Revenue Acceleration
Toronto, CA
110,000 - 170,000
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Job Description

Company Description: About ShopifyOpportunity 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: 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.

Additional Information: All your information will be kept confidential according to EEO guidelines.

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