Senior Product Data Scientist (Multiple Roles)

Company Description

About Shopify

Opportunity is not evenly distributed. Shopify gives independence to anyone with an aspiration to start a business. Since 2006, we've expanded to over 10,000 employees and have achieved over $500 billion in sales for millions of merchants in 175 countries. Every 28 seconds, an entrepreneur on Shopify makes their first sale.

This is a life-changing work that has a direct impact on people's lives as much as it redefines your own. This is about empowering the many, striving for a future with more voices rather than fewer, and creating more choices instead of exclusive options.

About you

Moving at our pace brings a lot of change, complexity, and uncertainty—and a touch of chaos. Shopify employees thrive in these conditions and are comfortable with discomfort. This means that 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 through seeking professional and personal rapid growth
• Keep up with a relentless pace (week by week, not quarter by quarter)
• Be resilient and resourceful in the face of uncertainty and flourish with change
• Provide critical thoughts and opinions — embrace differences and disagreements to get things done and move forward
• Work digitally in your daily routine

Job Description

About the role

As a Product Analytics professional, you will be tasked with converting raw data into actionable insights that will guide the development and improvement of our products. This role is not for the faint-hearted or those seeking a conventional corporate structure - we operate based on the principles of minimal process, high trust, and maximum impact. It's all about accomplishing things swiftly and efficiently, while continuously learning and adapting to changes in a dynamic environment.

Our product is designed to empower entrepreneurs. Consequently, your work will not only create value for our users but also contribute to global entrepreneurship. To excel here, you need to be dedicated to your craft and committed to continuous development. You should be an independent thinker who can solve complicated issues and handle a bit of chaos without getting overwhelmed.

As a Senior Data Scientist, you will collaborate with Product, Engineering, UX, and other teams to guide with data and achieve product/business objectives. Product Data Scientists are expected to:

• Proactively identify and endorse initiatives that solve intricate issues in critical business fields.
• Work closely with product, engineering and other business leaders to influence product and program choices with data
• Fully address general problems in those product/business areas and understand how those problems interact with the rest of Shopify.
• Create actionable KPIs, production-quality dashboards, informative in-depth reviews, and scalable data products
• Apply specialized skills and fundamental data science methods (such as regression, survival analysis, segmentation, experimentation, and machine learning when suitable) to inform improvements to our business
• Design and implement comprehensive data pipelines: work closely with stakeholders, especially data engineering, to build instrumentation and define dimensional models, tables or schemas that support business processes
• Influence leadership to make more data-informed decisions
• Define and advance best practices within your data science and product teams

Several teams are looking for Product Data Scientists to collaborate and add value for our merchants. These include:

Core Ecosystem, International, and Marketing

Merchants use Shopify in numerous ways, utilizing a vast range of first-party features and supplementing them with third-party applications. These all help merchants fulfill their diverse needs. A shoe brand in Canada, a small jeweler in Japan, and a Fortune 500 company in Germany all require different tools for success! This Data Science team focuses on helping merchants optimally use these various features and applications globally.

Checkout & Storefront

The Core Product Data Science team combines cutting-edge analytical techniques with robust business & product insight to drive better decisions and results for Shopify's merchants. Data Scientists turn data into actionable insights using various analytical methods, such as A/B tests, in-depth studies, advanced modeling, data visualizations, etc., to shape and support our product development strategies.

Executive Insights

The Executive Insights team supports Shopify leadership in determining the company's direction, promoting our message of entrepreneurship to the world, and investing in building the best products for our merchants. We do this by combining a deep understanding of the entrepreneurs who use our products, our position in the marketplace and the challenges our merchants face.

Qualifications

• Significant experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
• Significant experience in a data science role, solving large-scale, high-impact business problems
• Expert skill in data storytelling and strategic thinking, with an ability to inspire and cultivate a data culture within your team
• Significant experience using Python, including robust understanding of object-oriented programming (OOP) fundamentals
• Deep understanding of advanced SQL techniques and data modeling
• Well-versed in various Business Intelligence platforms and tools
• Experience working with different levels of business stakeholders, from the c-suite to engineering and product development teams.
• Enjoy working on multiple workstreams and can use ambiguity as an opportunity for high-level thinking
• Experience creating data product strategies, building data products, and ongoing iteration after launch
• Experience deploying machine learning models at scale in production settings is a plus
• Significant domain experience in e-commerce, sales & marketing, or Software as a Service (SaaS) is a plus

Additional Information

We hire people, not resumes. If you believe you're suited for the role, apply now. Please submit your CV/Resume in PDF format.