About the job
About Riskified
Riskified helps businesses grow their ecommerce operations by reducing risk. Our platform supports major global brands and public companies, protecting them from chargebacks and fraud while building customer loyalty. Clients include Acer, Gucci, Lorna Jane, GoPro, and many others. Our team brings together ecommerce risk analysts, data scientists, and researchers who use an AI-driven platform to evaluate transactions in real time, drawing on advanced identity verification to deliver actionable decisions.
We value collaboration and innovation. People at Riskified work together to create products that make a real difference, and every team member has the chance to contribute to our broader mission.
Role Overview
Note: This position will be recruited, hired, and employed by a third-party agency.
The Data Science department plays a central role at Riskified, building algorithms and scalable analytical solutions. The team applies advanced techniques such as classification models, natural language processing (NLP), anomaly detection, graph theory, and deep learning to extract value from data.
As the Data Science Team Lead in Lisbon, you will guide a team of data scientists and remain hands-on with complex technical projects. The role covers recruiting, mentoring, and supporting team members, while ensuring the delivery of effective machine learning solutions for fraud detection and risk assessment.
What You Will Do
Technical Leadership
- Set technical direction for complex data science projects that use large-scale tabular data.
- Lead key projects and contribute production-quality code.
- Define and maintain best practices for model development, evaluation, and deployment.
- Conduct code reviews to ensure quality, maintainability, and adherence to standards.
- Help team members navigate challenging technical problems.
Team Leadership and Management
- Recruit, onboard, mentor, and manage data scientists.
- Foster a collaborative environment that encourages experimentation and knowledge sharing.

