About FERO
FERO is reinventing checkout for eCommerce.
We build high-performance, adaptive checkout experiences that help merchants increase conversion and revenue.
Backed by top-tier VCs, we’re building from Madrid with a strong focus on performance, data, and real impact.
? About the role
We’re looking for a Data Scientist to help turn FERO’s data into smarter product decisions and measurable improvements for our customers.
You’ll independently take modelling opportunities from problem definition through experimentation, production deployment and impact measurement. Your first priorities will include improving our payment-method usage prediction model and scaling our ensemble recommendation model.
Our data function and platform are still evolving, so you’ll need to be comfortable managing your own workload, collaborating closely with Product, Engineering and Data colleagues, and working in an environment where not every process or data foundation is fully established yet.
? What you’ll do
Improve our multiclass payment-method usage prediction model.
Help scale and develop our ensemble recommendation model.
Turn business and product questions into testable hypotheses, experiments and modelling opportunities.
Develop and validate classification and recommendation models.
Design and analyse A/B tests, holdouts and other experiments to measure business impact.
Evaluate models through offline validation, backtesting and production performance.
Deploy models into production and monitor how they perform.
Work closely with Product, Engineering and other stakeholders to translate insights into practical decisions.
Help replace manual rules and heuristics with learned models where this creates measurable value.
? What you’ll bring
3–5 years of professional data science experience, including models that reached production.
Strong Python skills and experience with tools such as pandas or polars and scikit-learn or equivalent.
St
📌 Data Scientist (Madrid)
🏢 FERO
📍 Madrid
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