Lead Data Scientist Machine Learning at Shopify

About the role
About the roleData 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 currently looking for Staff Data Scientists to be part of our new visual attribute extraction technology called Deep Tagging.
Deep tagging is transforming the online shopping experience by enabling image and text-based product understanding,  leveraging Computer Vision, Natural Language Processing and deep learning technologies that mimic the way customers think about products.As Staff Data Scientists on this team, you will get the opportunity to push products and business forward, focus on solving important problems and get to experience an opportunity to become an AI expert in the ML Computer Vision and the Deep Learning space.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
2+ years of experience in one or more of the following areas - CV, NLP, deep learning or artificial intelligence
You have a well-built technical experience that inspires individual contributors’ creativity and innovation. 
You feel comfortable designing and training  Deep Learning models for object detection in images/ image classification/ text classification 
You have experience with product leadership and technical decision-making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level but are also able to contribute to long-term initiatives by mentoring your team
Multiple work streams excite you, you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals
Great if you have:
Previous experience using Spark
Previous experience working with MLFlow
Previous experience using Ray
Experience with statistical methods like regression, GLMs or experiment design and analysis.
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
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 and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
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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