Data Scientist

Guzco; Amsterdam; Hybrid; EUR 100,000 - 150,000; Full time

Job summary

Guzco, Amsterdam-based, is hiring a Founding Data Scientist to architect its risk intelligence function from the ground up. You will define questions, hunt patterns, measure risk at scale, and own the data science lifecycle from data sourcing to production monitoring, building systems that move beyond notebooks.

Join a small, high-impact team with autonomy and ownership, shaping product strategy and collaboration with merchants, carriers, and 3PLs.

Qualifications

• 4+ years of data science experience in fraud, risk, logistics, fintech, or similar domains.
• Fluent in Python and SQL with hands-on use of scikit-learn, TensorFlow, or PyTorch.
• Strong statistical foundation with inference, probability, and rare-event estimation.
• Curious and resilient problem solver who can navigate ambiguity and complexity.
• Builder mindset focused on shipping practical, working solutions.
• Thrives on ownership, autonomy, and collaboration in a small high-impact team.

Responsibilities

• Define and drive the full risk, fraud, and intelligence roadmap with the founding team.
• Own the data science lifecycle from question framing and data sourcing to production monitoring.
• Build measurement frameworks, statistical baselines, and core risk metrics.
• Analyze high-dimensional logistics and transactional data to uncover fraud patterns and anomalies.
• Build clean, automated systems that go beyond notebooks and run in production.
• Translate complex findings into clear actions and product strategy.

Skills

Python

SQL

Scikit-learn/TensorFlow/PyTorch

Fraud/Risk domain experience

Ownership/Autonomy

Production-ready system building

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Our mission is to detect and disrupt 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 complex data streams into practical intelligence.

Role overview

As our Founding Data Scientist, you will architect our intelligence function and design our risk-detection engine from the ground up. You will define what questions we ask, what patterns we hunt for, and how we measure risk at scale.

Responsibilities

• Define and drive the full risk, fraud, and intelligence roadmap with the founding team.
• Own the data science lifecycle from question framing and data sourcing to production monitoring.
• Build measurement frameworks, statistical baselines, and core risk metrics.
• Analyze high-dimensional logistics and transactional data to uncover fraud patterns and anomalies.
• Build clean, automated systems that go beyond notebooks and run in production.
• Translate complex findings into clear actions and product strategy.

Qualifications

• 4+ years of data science experience, preferably in fraud, risk, logistics, fintech, or similar domains.
• Fluent in Python and SQL with hands-on use of scikit-learn, TensorFlow, or PyTorch.
• Strong statistical foundation with comfort in inference, probability, and rare-event estimation.
• Curious and resilient problem solver who can navigate ambiguity and complexity.
• Builder mindset focused on shipping practical, working solutions.
• Thrives on ownership, autonomy, and collaboration in a small high-impact team.

Company culture

We hire exceptional people and give them trust, freedom, and responsibility. We value depth of thinking, direct collaboration, and low-bureaucracy execution so great ideas can ship quickly.