You are a Python-first, statistics-strong individual.
You possess the autonomy and speed to self-direct and ship working code without step-by-step guidance.
You are capable of explaining complex modeling choices in plain language with actionable conclusions.
You are currently a student at a university in Spain able to sign a “convenio de prácticas”.
Partner with Data Analysts to solve complex problems such as probabilistic LTV, churn prediction, and forecasting.
Build, compare, and iterate LTV models (e.g., survival/retention-based, GBMs) to produce calibrated predictions for UA and pricing.
Predict churn windows and retention curves by app/geo/cohort to inform payback and creative strategies.
Translate model outputs into conversion signals for Google and Meta optimization.
Pull and transform event and purchase data from BigQuery, RevenueCat, and AppsFlyer into model-ready datasets.
Evaluate A/B tests and pricing experiments using frequentist or Bayesian methods
Core Technical: Strong hands-on experience with Python (pandas, NumPy, scikit-learn, Jupyter).
Theoretical: Solid understanding of probability, hypothesis testing, regression, classification, and model calibration.
Evidence: Ability to show at least one end-to-end model (academic or personal project).
Nice-to-have: Experience with Bayesian modeling (PyMC/Stan), survival analysis, gradient boosting (XGBoost/LightGBM), and SQL/BigQuery.
Remuneration: A remunerated full-time position providing real ownership and impact.
Flexibility: Flexible working hours, 25 days annual leave, and 1 month of ‘work from anywhere’ outside of Spain.
Workspace: Private office at Norrsken House and a €5,000 budget for professional home-office equipment.
Wellness: Option for a high-end gym membership (innerflow.es) and healthy in-office catering starting at €2-€3.
Career: Tailored career plan with performance reviews and salary calibrations every 6 months.
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