About the Team
We are building the alarm system for e-commerce operations.
Our mission is to detect and disrupt the risks—from delivery fraud to "Item Not Received" (INR) claims—that create friction between merchants, carriers, and 3PLs. We sit at the intersection of e-commerce, logistics, and fraud, turning massive, complex data streams into the clear-cut intelligence our clients need to operate safely.
We're currently a lean, high-impact "pod". We are now looking for a new member: the strategic data scientist who will build and own our entire risk-detection brain.
About the Role
As our Founding Data Scientist, you will be the architect of our intelligence function. This isn't a role for maintaining dashboards; this is a greenfield opportunity to design our risk-detection engine from the ground up.
You will be the strategic partner to the team, defining what questions we ask, what patterns we hunt for, and how we measure risk at scale. Your challenge is to take raw, high-volume data from sources like carriers and merchants and build the models that are our core product. You will be the leader who sets the rhythm for our analytical work and mentors our growing team, turning your insights into automated, end-to-end solutions.
In this role, you will:
Own and define the entire risk, fraud, and intelligence roadmap, in close partnership with the founding team.
Own the full data science lifecycle: from framing the right questions and sourcing data to building, deploying, and monitoring production-grade ML models.
Establish the "ground truth": Build the measurement frameworks, statistical baselines, and core metrics to quantify risk (like INR claims) across the entire e-commerce ecosystem.
Hunt for patterns: Analyze complex, high-dimensional logistics and transactional data to uncover novel fraud vectors and anomalous behaviors.
Build durable systems: Go beyond notebooks. You’ll be responsible for building clean, automated data pipelines and systems in a production environment.
Communicate with clarity: You will be the internal expert who translates complex findings into clear actions and product strategy.
See beyond the numbers. You are driven to understand the human behaviors and systemic flaws that the data represents.
You might thrive in this role if you:
Have 4+ years of experience in data science, preferably in a high-stakes domain like fraud, risk, logistics, or fintech.
Are fluent in Python and SQL and have hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Have a strong statistical foundation. You're comfortable with inference, probability, and ideally, concepts like rare-event estimation (critical for fraud).
Are obsessively curious and resilient. You know the "first answer is often not the right answer" and get energized when a problem gets tough.
Are a "builder" who "shows, not tells." You prove how good you are by shipping elegant, working solutions, not by talking about them.
Thrive on autonomy and ownership. You want "guidance, not guardrails." We'll give you a problem, and we know you'll find a smart way to solve it.
Are a listener and a collaborator. You know the best ideas come from group conversations and you're eager to build a "common vision" with a small, brilliant team.
About Guzco
We are a small team of passionate, curious people dedicated to solving hard problems. Our culture is our foundation:
We hire the best and let them work. We give you the freedom, trust, and tools to build end-to-end solutions.
We go deeper. We're critical thinkers who obsess over the details and know that the best solution is rarely the first one.
We are partners, not "resources." We create an atmosphere where everyone talks to everyone. Your voice and your ideas are critical from day one.
We are building the "best infrastructure" for our team to create their best work, with no bureaucracy.
If you are a curious, resilient builder who wants to own a core part of a new product, we would love to talk.
