Product Data Scientists
Job Description
Description
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Product Data Scientists
- Remote – Americas
- Engineering & Data
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About the role
Are you ready to decode commerce through the power of data? As a Product Data Scientist at Shopify, you’ll deeply understand our products, telling their stories and figuring out how to make them 10x better. You’ll own big problems and collaborate with cross-functional partners to build data-informed solutions. You’ll be the architect of insights that guide our product journey, helping determine what we build and how we build it.
Key Responsibilities:
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Unearth insights through advanced analytics and data exploration to inform product strategy and development.
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Partner with product managers and engineers to translate complex datasets into actionable business strategies.
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Apply statistical models, regression analysis, segmentation techniques, and experimental methods to optimize product performance.
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Build powerful data products that improve the experience of merchants (and more) worldwide.
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Influence decision-making processes by providing clear, data-backed recommendations.
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Continuously innovate by leveraging AI tools and cutting-edge analytics techniques.
Qualifications:
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Strong understanding of SQL and other data tools such as dbt.
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Proficiency in programming languages such as Python or R, and experience with data visualization tools.
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Proven experience in statistical analysis, data modeling, and machine learning.
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Skilled in translating complex data into actionable insights for stakeholders.
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Ability to own and solve complex product and business problems with data.
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Experience with cloud platforms and big data technologies is a plus.
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Demonstrated ability to thrive in a fast-paced, dynamic environment.
Ready to transform data into groundbreaking product discovery? Join the team that’s making commerce better for everyone.
About Shopify
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.
This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.
Before you apply, consider if you can:
- Care deeply about what you do and about making commerce better for everyone
- Excel by seeking professional and personal hypergrowth
- Keep up with an unrelenting pace (the week, not the quarter)
- Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
- Bring critical thought and opinion
- Use AI tools reflexively as part of your fundamental workflow
- Embrace differences and disagreement to get shit done and move forward
- Work digital-first for your daily work
Shopify
We hire people, not resumes. If you think you’re right for the role, apply now.
Apply Now
First things first
We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below:
I care deeply about what I do
I am always seeking new (sometimes uncomfortable) growth
I thrive on change in an ambiguous environment
I get shit done and can keep pace to ship weekly
I want to work remotely for my daily work
I have a history of being resilient and resourceful
I want to make commerce better for everyone
It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.
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If you’ve contributed to the largest open-source projects, optimized systems to handle unprecedented traffic, or developed game-changing algorithms, we want to know about it. Link your highlights and skip the resume.
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Do you have the right to work in your listed location? *
Which track are you interested in pursuing with Shopify?*
Individual ContributorPeople Manager
What is your level of experience using SQL for data manipulation?*
I have no experience working with SQL and am unfamiliar with applying basic SQL transformations.I use basic SQL transformation (joins, filters, aggregations) to solve straightforward business questions.I have an understanding of data-warehouses, and use SQL to manipulate dimension and facts tables to solve business questions.I have an understanding of data-warehouses, and I use advanced SQL techniques (window statements, complex joins, arrays) to solve complex business questions.
What is your level of experience with Python and general programming principles?*
I have no experience with Python or general programming principlesI have some experience with Python and can write code to solve simple problems.I have an understanding of programming principles (if statements, loops, basic data structures, functions) and am able leverage libraries to solve problems in a scripting/notebooks setting.I have an understanding of programming paradigms (such as object orientation) and apply software engineering best practices to solve complex problems.
How many years of hands-on Data Science experience do you have? This does not include academic experience or internships*
0-4 years5-7 years8-10 years11+ years
As a Data Scientist, how would you describe your approach to mentorship?*
I’m still learning the ropes, so I tend to focus more on absorbing knowledge myself.I’m comfortable with my skills, but I still rely on more experienced engineers for complex problems.I mentor others and promote a culture of learning and growth within the organization.I mentor others, and play a role in increasing the technical competencies of my craft at the org level.
As a Data Scientist, how would you describe your experience on projects?*
I haven’t led a project yet, but I’ve contributed to the tasks assigned to me and learned from the process.I’ve led a small project or a part of a larger project from start to finish.I’ve led multiple projects across teams and stakeholders, and was accountable for the project’s success.I’ve led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities.
Which of the following best describes your most recent role in a product decision?*
I’ve executed tasks that were defined for me within a well defined scope.I executed tasks on complex projects where the results influenced product direction in the short termI led the delivery of work on a complex project, that impacted the overall product road map.I led the delivery of complex projects, spanning multiple stakeholders, with long-term product impact.
What is your level of familiarity with research design and experimentation?*
I form and disprove hypotheses based on a given business problem using basic statistical techniques.I run experiments and leverage advanced techniques to make actionable recommendations to my team.I use experiments + advanced statistical techniques to drive cross-functional product decisions.I explore new methodologies to answer complex business questions, and influence the craft of data science.
Tell us about an interesting metric you defined and presented in a professional capacity, and the impact of that work.*
Tell us about a difficult stakeholder situation at work, and how you managed it.*
Share a technical problem you solved at work, the tools you used to solve it, and the outcome of that.*
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Please confirm you’ve read and agree with our candidate NDA *
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Company
Vector Institute
Location
, ON, Canada
Country
Canada
Salary
100.000
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