Galgo is a fast-growing fintech specialized in motorcycle sales and financing.
We are a purpose-driven company, the first and only financial institution focused on the underbanked sector in Chile, Mexico, and Colombia...
And now, we’re very excited to be expanding into Brazil! 🚀

At Galgo, we work to create better opportunities for integration and development through financial access—helping people achieve their dreams.That’s why we’re looking for our next Sr. Data Scientist to join a high-performing team. The main responsibilities will be:

- Design, train, and deploy predictive models and advanced algorithms to automate key business processes and improve data-driven decision-making.

- Lead data science projects end-to-end, defining analytical objectives aligned with business needs and ensuring measurable impact.

- Develop robust, reproducible, and scalable machine learning pipelines in collaboration with engineering and data teams.

- Validate and monitor model performance in production, proposing adjustments and continuous improvements based on key metrics and evolving operational conditions.

What we’re looking for:

- 5+ years of experience as a Data Scientist, Machine Learning Engineer, or similar role.

- Proven experience managing end-to-end ML processes, from design to deployment.

- Advanced proficiency in Python and SQL.

- Strong knowledge of scikit-learn and boosting algorithms (XGBoost, CatBoost, LightGBM, etc.).

- Experience in cloud environments (GCP, AWS, or Azure).

- Hands-on experience implementing ML pipelines in production using frameworks like MLflow, Vertex AI, SageMaker, or similar.

- Solid understanding of model evaluation under class imbalance, with metrics such as AUC, precision-recall, F1-score, etc.

- Strong stakeholder management skills, with the ability to translate business needs into effective technical solutions.

- Nice to have experience in Fraud and/or Risk teams.

At Galgo, we are committed to attracting the best talent without distinctions, because we believe diversity is the most valuable asset of our organization.

Departamento

Riesgo

Puesto

Data Scientist

Ubicaciones

Natal, Brazil, Sao Paulo, Brazil

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