Data Science Manager (Remote, Canada)

Job post summary
Location Americas
Team Data Science & Engineering

About the role

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. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. 

We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.  

What your role will look like:

  • Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data

  • Proactively identify and champion projects that solve complex problems across multiple domains

  • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems 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  models, tables or schemas that support business processes

  • Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

 

Qualifications

You will need to have:

  • 7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
  • Experience building and managing high performance data science teams
  • Experience delivering business impact through analysis and data products
  • Experience building data pipelines and driving ETL design decisions
  • Technical leadership and management experience (you enjoy doing both).  You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
  • Experience creating data product strategies, shipping data products, iterating after launch, and trying again
  • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
  • Strong ability to prioritize and communicate to technical and non-technical audiences alike

It would be great if you have:

  • Previous experience using Spark (either via Scala or Pyspark)
  • Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
  • Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools

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

If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. 

Please apply before October 15th, 5:00 pm EST. 

At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. 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.

#LI-REMOTE

How we hire

At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process 

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