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.
Our data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. The vision of the team is to grow Shopify by bringing global merchants onto our platform, and making them successful wherever and to whomever they sell. As part of the data science team your job will be to help our teams, both commercial and RnD, to make great decisions, quickly. You will focus on the challenges that arise from adapting Shopify to local commerce needs and requirements, and help our teams steer into the right direction by providing the right data at the right time.
Please note, this team is based in EMEA/Europe, and we are specifically looking for people to join us in these regions only.
Your responsibilities:
Gather context to solve ambiguous problems that leads to long term impact
Partner closely with product, engineering and other business leaders to influence decisions with data
Apply different analytics and data science methods to inform improvements to our business
Identify, design and implement end-to-end focal data pipelines that scale and allow data & product to move fast
Identify and build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Advance best practices within data science and product teams
Qualifications
You will need to have:
Deep technical experience that inspires individual contributors, creativity and innovation. You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team,
Sound knowledge of applied statistics and quantitative modeling,
A track record of communicating to technical and non-technical audiences
Experience creating data product strategies, shipping data products and iterating after launch,
Experience working closely with various levels of business stakeholders, potentially all the way up to c-suite
Curiosity about multiple problem domains and analytical approaches,
Strong sense of ownership and a growth mindset
It would be nice to have:
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals.
Good experience with SQL
Understanding of dimensional modeling and building ETL pipelines
Familiarity with GCP and Spark
Familiarity with Tableau, QlikView, Mode, or similar data visualization tools
Experience contributing to productionized machine learning models at scale
Domain experience in e-commerce, marketing, SaaS or other relevant areas
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person (👋🏻) and is looking forward to learning more about you and your interest in joining our team.
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 people with disabilities, people from gender and sexually diverse communities, racialized people, and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments.
Interested, but not ready to apply?
Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/2021
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.