Data Science Manager (EMEA)

Data Science Manager (EMEA)

This job is no longer open

About the role

We are looking for a Data Science Leader to build and lead the team that partners with our EMEA-based Revenue organization. The newly formed Revenue team is working in start-up mode, aiming at amplifying Shopify and helping merchants in EMEA, Shopify's fastest growing region, to be successful. The team is focussed on creating and maintaining trust with our merchants through strong and personal relationships.

Data Science plays a crucial part in achieving these goals. We organize and interpret petabytes of data to provide deep, actionable insights for our stakeholders; build out data systems that empower decision-making at scale; and provide recommendations to drive revenue, retention and product adoption in the region.

You’ll be leading a team that is focused on:

  • Identifying and developing a deep understanding of our merchants and the complex partnership ecosystem which supports them

  • Integrating internal, relevant data into revenue systems to optimize lead flow, salesforce management, and onboarding of large (and rapidly growing) brands

  • Empowering the team by building and maintaining actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

  • Designing and implementing end-to-end data pipelines that are essential to support the Revenue Org's business processes

Some of the Data Science & Engineering team members you’ll work with:

Dirk Beese, Data Science Manager, Growth and Revenue

Ella Hilal, Director of Data Science, Growth and Revenue

Shopify team members you’ll work closely with:

Shimona Mehta, Managing Director, EMEA


You will need to have experience with:

  • 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; Machine Learning or other advanced techniques are also welcome

  • Exposure to Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools

  • Some experience with with salesforce management and optimization

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:

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 

This job is no longer open
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