Role overview
You’re a hands-on, technically strong Data Scientist who has already begun leading—and you’re excited about a role where you can both build and shape a function.
You’ll likely have:
- 6+ years in Data Science / ML, including 3+ years in a lead role delivering production ML.
- Strong depth in at least one: recommender systems, experimentation platforms, growth analytics, or retention/churn modeling.
- Proficiency in Python, SQL, and common ML tooling (scikit-learn, XGBoost, PyTorch, or similar).
- Evidence you’ve tied models to outcomes (retention lift, conversion uplift, marketing ROI, operational efficiency, etc.).
- Familiarity with modern data stacks (cloud warehouse like Snowflake or similar, BI tools like Looker, ML orchestration/deployment tooling).
- Confidence communicating trade-offs, uncertainty, and results to both technical and non-technical partners.
- A practical, collaborative mindset—optimizing for what works, scales, and gets adopted*.*
- 22 annual leave days + 2 additional days per year of tenure (up to 6).
- 5 training days per year.
- Private health insurance via Tranquilidade.
- Meal/food allowance of €7.62 per worked day via Coverflex.
- 24/7 confidential Employee Assistance Program.
Tags & focus areas
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