Data Scientist - Ibiza

Prime Insights; Ibiza; Presencial; EUR 55.000 - 85.000; Jornada completa

Descripción de la vacante

Prime Insights, empresa sueca de tecnología, busca un Data Scientist para Ibiza. Desarrollarás motores de recomendación y modelos para predecir valor de usuarios y retención, aportando insights para mejorar engagement y ROI.

Se requiere >3 años en Data Science, dominio de Python y SQL, y experiencia en AdTech. Trabajarás con equipos multidisciplinares en un entorno de alta demanda de precisión y velocidad, con foco en producto y usuarios.

Formación

• 3+ años de experiencia en Data Science.
• Experiencia en AdTech, Gaming o FinTech.
• Dominio de Python (Scikit-learn, PyTorch) y SQL avanzado.
• Conocimiento de CPM, ROAS, attribution y post-back.
• Excelentes habilidades de comunicación y presentación de resultados.
• Diseño experimental en entornos de alto tráfico.
• Curiosidad por el producto y comprensión de la psicología del usuario.

Responsabilidades

• Desarrollar motores de recomendación para maximizar engagement.
• Modelar LTV y churn para optimizar la captación.
• Detectar fraudes y anomalías en tiempo real.
• Aplicar diseño experimental y pruebas A/B para validar ideas.
• Transformar datos en insights accionables para el negocio.

Conocimientos

Data Science

Experiment design

Communication

AdTech knowledge

Statistical modeling

Herramientas

Python

SQL

Scikit-learn

XGBoost/LightGBM/CatBoost

PyTorch

Descripción del empleo

Descripción del trabajo

About Us

Prime Insights is a Sweden-based technology company reaching millions of diverse users through our proprietary Market Research Panel. Beyond our world-class Market Research Panel, we are scaling our Offerwall and Play-to-Earn (P2E) ecosystems. We connect millions of users to games and products they love, leveraging sophisticated targeting to ensure high engagement for advertisers and maximum rewards for our users.

What You’ll Do

• Predictive Targeting & Personalization: Build recommendation engines that match the right offer (game/survey) to the right user at the right time to maximise user engagement.
• User Lifetime Value (LTV) Modeling: Develop models to predict long-term user value and churn, allowing us to optimize user acquisition spend.
• Fraud & Anomaly Detection: Guard the ecosystem by building real-time systems to detect \"farming,\" bot behavior, and VPN spoofing.
• Statistical Rigor: Serve as the internal consultant for experimentation (A/B testing) design, ensuring results are statistically significant and unbiased.
• Advanced Analytics: Move beyond descriptive reporting into diagnostic and predictive analytics.

What We’re Looking For

• 3+ years of experience in Data Science, ideally within AdTech, Gaming, or FinTech.
• Core Tech Stack: Expert proficiency in Python (Scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch) and Advanced SQL.
• AdTech Knowledge: Familiarity with concepts like CPM, ROAS, Attribution, and Post-back loops.
• Strong communication skills: Able to clearly explain findings, assumptions, and tradeoffs to both technical and non-technical audiences.
• Experimental Design: Deep understanding of A/B testing in high-traffic environments where \"noise\" is high.
• Product Curiosity: You don’t just build models; you want to understand the psychology of why a user clicks one game over another.