INTERNSHIP: Data Science

hace 1 semana

Sallent, España carrots A tiempo completo

We're hiring a Python‐first, statistics‐strong Data Science Intern (or junior ML Engineer) to partner with our Data Analysts on the hardest problems we have: probabilistic LTV , churn prediction , and forecasting that actually moves CAC, payback, and ROAS. Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.READ THIS FIRST — Apply only if you meet this: Eligibility: You're currently studying at a university in Spain (ideally in or near Barcelona) and can sign a "convenio de prácticas". This position is open exclusively for internship agreements. If you're not sure whether your university can provide one, please confirm with them before applying , as we'll automatically filter out candidates who can't meet this requirement. Otherwise, feel free to check out our other junior roles on the Carrots Lab LinkedIn page › Jobs where a "convenio" isn't required. WHAT YOU'LL OWN (Your Mission) LTV Prediction & Probabilistic Forecasts Build, compare, and iterate LTV models (e.g., survival/retention‐based, zero‐inflated + Gamma, GBMs). Produce calibrated predictions we can trust for UA and pricing. Churn & Retention Modeling Predict churn windows and retention curves by app/geo/cohort to inform payback and creative/keyword strategy. Signal Engineering for UA Translate model outputs into conversion signals (e.g., value‐based bidding targets) that improve Google/Meta optimization. Revenue & Cohort Analytics (Python) Pull, transform, and join event & purchase data (RevenueCat, AppsFlyer, Firebase, BigQuery) into model‐ready datasets. Decision Science Evaluate A/B tests (frequentist or Bayesian), pricing experiments, and funnel changes with confidence intervals and practical uplift . WHAT SUCCESS LOOKS LIKE (90 Days) LTV v1 shipped per flagship app with baseline vs. model comparison (e.g., MAE/RMSE or calibration plots) and a documented retrain cadence. Churn or retention model v1 that beats naive benchmarks (e.g., 30‐day retention mean) and informs UA payback assumptions. Signal spec delivered: which in‐app events/values we should pass to ad platforms, how to weight them, expected CPA impact. Reproducible codebase : clean notebooks/scripts with README, functions, and basic tests; data pulls automated in Python. xohynlm Live dashboards (with Sergi): LTV/payback & cohort views wired to Looker for weekly decision‐making.

  • INTERNSHIP: Data Science

    hace 5 días

    Sallent, España carrots A tiempo completo

    We're hiring a Python‐first, statistics‐strong Data Science Intern (or junior ML Engineer) to partner with our Data Analysts on the hardest problems we have: probabilistic LTV , churn prediction , and forecasting that actually moves CAC, payback, and ROAS. Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo...

  • Internship: data science

    hace 1 semana

    Sallent, España carrots A tiempo completo

    We're hiring a Python‐first, statistics‐strong Data Science Intern (or junior ML Engineer) to partner with our Data Analysts on the hardest problems we have: probabilistic LTV, churn prediction, and forecasting that actually moves CAC, payback, and ROAS.¿Interesado en saber más sobre este trabajo? Desplácese hacia abajo y descubra qué habilidades,...

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    hace 5 días

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    hace 2 semanas

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