Data Science Intern - Fall (Remote - UK, Ireland, or Germany)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

If you are applying from outside the Shopify careers page, please apply through our early careers page (https://internships.shopify.com/) to ensure you are completing all application components.

As an intern at Shopify, you will be fully integrated into your team. In addition, mentorship will be available as you join 7000+ people who are serious about personal growth and learning.

We value high trust and flexibility (it’s always been a part of our culture) and if you’re expecting to be told exactly what to do, Shopify may not be the place for you. We don’t claim to have all the answers, and that’s why we look for independent thinkers, collaborators, and people hungry to grow alongside their team. Find out more about our past interns experiences, watch our Intern Diaries video, and learn more about how we approach mentorship at Shopify. We were also selected as one of WayUp’s Top 100 Intern Employers!

Our Data Scientists come from diverse backgrounds: computer science, business, economics, and physics to name a few! We are solving diverse problems in the business and appreciate diverse perspectives. Our product direction is data driven and we’re all working toward one common goal: make commerce better for everyone.

The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of retail data to work to make our merchants more successful. You’ll make an impact on delivering merchandising insights, optimizing shipping and processing rates, reducing credit card fraud, ad campaign recommendations, and more!

As someone who thrives in a rapidly changing environment, you will develop a deep understanding of our data, tools, and processes by measuring key metrics, promoting new analytical techniques and questioning assumptions. You love to tell the story behind the numbers, and will clean, model, and analyze a wide variety of data sources.

Shopify internships are 3-month, 4-month, or 8-month paid terms, and are open to students, co-ops, recent graduates, and those in the early stage of their engineering/development careers. Fall internships will start on September 12th, 2022. 

This posting will close on Monday, June 13th, 2022 at 11:59PM EST. Applications will be reviewed and interviews will be conducted on a rolling basis. Applications will not be accepted after the deadline.

Qualifications

• Building data products and models that power Shopify’s intelligence
• Helping people make well-informed decisions
• Receiving mentorship and infinite opportunities to learn and grow
• Using TDD to write well-tested code
• Contributing to the open source community

 Mandatory details for application below.

In your application:

• Include your resume.
• To showcase your skills and to help us get a better understanding of your data science knowledge, please submit the mandatory Data Science Intern Challengeand attach it to the field titled Shopify Technical Challenge Submission (link). Please ensure that the challenge is complete before you submit your application, as recruiters will be reviewing applications on a rolling. Challenge submission is mandatory in order to be considered.
• We're always looking to see where passion and engagement shows itself in all aspects of your life. Please answer the questions outlined in the application to tell us more about yourself!
• If you were to open a Shopify store, what would you sell and why (or tell us about your store if you have one!) (200 word limit)
• Any last thoughts? (ie. proud accomplishments, cool ideas, a joke, etc.) (200 word limit)

The Hiring Process:

• Candidates that move beyond the initial application stage will be invited to a “Life Story” interview with a Recruiter on the Intern Program team. 
• After the Life Story, successful candidates will be invited to a 60 minute technical interview with two (2) Shopify Data Scientists. You will be informed in advance of the interview of what you need to bring. 
• After the technical interview, successful candidates are placed on teams based on their interests, skills and experience - each placement is done individually and with significant consideration.