Paul Stroup: My work in Data Science and building the future of fulfillment at Coupang

Driving Innovation in Fulfillment Optimization at Coupang 

When I look back at my career, I see a common thread: solving complex problems at scale with data, engineering, and innovation. For the past 20 years, I’ve dedicated myself to building solutions that tackle real-world operational challenges, and today, I’m proud to lead that mission at Coupang. 

As the Senior Director of Data Science and Engineering for Fulfillment Optimization, I oversee the Data Science teams — a talented group of data scientists, machine learning engineers, and software engineers. Together, we’re responsible for everything from delivery promise estimates and order network routing to warehouse algorithms and automated image audits. Our work directly impacts the speed, reliability, and efficiency that customers experience every day when they shop with Coupang. 

Building Breakthrough Fulfillment Systems 

At Coupang, our primary focus is the Fulfillment Optimization initiative—one of the key reasons Fast Company recognized Coupang as one of the world’s most innovative companies. The goal is simple but ambitious: delight customers with lightning-fast delivery while reducing costs by dynamically routing billions of orders. 

Some of the groundbreaking projects my team has developed include: 

• Order optimization system: We moved from static to dynamic routing, a shift that saved tens of millions in just the first year.
• Digital twin simulation: This system allows us to test new network designs and operational changes virtually, ensuring smooth rollouts.
• Advanced software systems: From real-time fulfillment capacity data to sophisticated operations research models, we’ve built tools to keep operations agile and intelligent.

These initiatives are not just technical achievements—they’re game-changers that redefine how we operate at scale. 

The Culture That Fuels Innovation 

One of the most rewarding parts of working at Coupang is the culture. We operate with the entrepreneurial energy of a startup, but with the resources of a global, public company. It’s a fast-paced, high-impact environment where every individual is empowered to make meaningful contributions. 

Collaboration is at the heart of everything we do. Our teams thrive on cross-functional partnerships, guided by our principle of “Disagree and Commit”—every decision is grounded in data, and once a decision is made, we move forward together. This is all underpinned by our “Move with Urgency” leadership principle, which reflects our deep sense of ownership and responsibility. 

Looking Ahead 

My career has always been about leveraging data and AI to solve operational challenges at scale, and Coupang offers the perfect platform for that vision. Over the coming years, I see myself continuing to grow large-scale teams, leading innovations that directly transform how commerce operates. Here, I get to help build systems that not only make business sense but also enhance the daily lives of millions of customers—a responsibility I’m incredibly proud of. 

Advice for Aspiring Data Scientists 

For anyone considering joining our team, my advice is to go beyond being a “data scientist” and position yourself as a business force multiplier. In interviews, I recommend the SBI (Situation-Behavior-Impact) model: 

• Situation: Show that you understand the broader business problem and context.
• Behavior: Walk through your specific actions, data used, and technical approach.
• Impact: Highlight the measurable business results, whether in revenue, cost savings, or customer experience. 

The best candidates aren’t just model builders—they’re impact creators who can collaborate with engineering and business teams to bring models into production and deliver tangible value. Communication and execution are just as critical as technical skills. 

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Coupang is at the cutting edge of fulfillment optimization, and it’s an exciting place to be for anyone passionate about solving complex, high-scale problems with data and technology. For me, this role is the perfect intersection of leadership, innovation, and real-world impact. And for those looking to join, my message is simple: bring your curiosity, your drive, and your vision for how data can transform business — and you’ll thrive here.