Senior Data Scientist — LTV & Monetization Lead

Scrambly; España; Presencial; EUR 90.000 - 140.000; Jornada completa

Descripción de la vacante

Scrambly, a fast-growing adtech startup, is looking for a Senior Data Scientist to own end-to-end modeling for user value, acquisition spend, and fraud controls. You’ll collaborate with engineers to deploy models and iterate as the product and market evolve.

You’ll work in a small, autonomous data team reporting to the Head of Data, shaping how predictions drive business decisions and monetisation strategies in a fast-paced environment.

Formación

• 4+ years as a data scientist working on production models that drive real decisions.
• Hands-on experience with LTV or ROAS prediction — forecasting user or cohort value from early behaviour, and dealing with immature cohorts, long horizons, sparse segments, and models that decay as the product changes.
• Adtech or mobile performance marketing background — attribution and MMP data, cohort and campaign economics, and how UA spend is decided.
• Strong Python and SQL, with production experience on a cloud data warehouse — BigQuery preferred.
• Rigour about evaluation: you choose the metric that matches the business objective, careful about out-of-sample and point-in-time correctness, and you are willing to say a model is not good enough to ship.
• Experience of models that made it into production and were used to make real decisions — you understand what it takes to get there and what happens to a model afterwards.
• Commercial judgement and clear communication — able to explain a model to people who will spend money based on it, and to push back when the data does not support the question being asked.
• A proactive, self-directed way of working. You will be in a very small team, with a lot of latitude and little process.
• English at B2+, written and spoken — you will document your work and work daily with an international team.

Responsabilidades

• Value prediction: forecast user and cohort value from early behaviour and across revenue streams; improve accuracy as product changes.
• Bidding and pricing: model what we are willing to pay to acquire users, with controls to keep spend within margins while learning.
• Segmentation and targeting: build scoring and segmentation to treat users, partners, and inventory by value.
• Fraud and abuse: improve fraud model accuracy and balance catching abuse with protecting real users.
• Evaluation: decide how each model is judged, maintain out-of-sample discipline and relevant metrics.
• Collaboration: work with Head of Data on prioritisation, with engineers on data pipelines and serving, and with commercial teams to turn model output into trusted decisions.

Descripción del empleo

Scrambly, a fast-growing adtech startup, is looking for a Senior Data Scientist to own end-to-end modeling for user value, acquisition spend, and fraud controls. You’ll collaborate with engineers to deploy models and iterate as the product and market evolve.

You’ll work in a small, autonomous data team reporting to the Head of Data, shaping how predictions drive business decisions and monetisation strategies in a fast-paced environment.