Data Scientist: Predictive Personalization & Growth

Prime Insights

España

Presencial

EUR 60.000 - 90.000

Jornada completa

Hace 7 días
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Descripción de la vacante

Prime Insights, a Sweden-based technology company, is seeking a Data Scientist to build predictive models and recommendation systems to improve user engagement, LTV, and fraud detection in a high-scale product environment.

You will work within the Central Data Team to power an international community, leveraging Python and SQL to deliver advanced analytics, experimentation frameworks, and real-time systems.

Formación

  • 3+ years of experience in Data Science, ideally within AdTech, Gaming, or FinTech.
  • Expert proficiency in Python (Scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch) and Advanced SQL.
  • AdTech knowledge: CPM, ROAS, Attribution, Post-back loops.
  • Strong communication skills to explain findings to technical and non-technical audiences.
  • Experimental design: strong understanding of A/B testing in high-traffic environments.
  • Product curiosity: understanding the psychology of user choices.

Responsabilidades

  • Build predictive models and recommendation engines to maximise engagement.
  • Develop LTV and churn models to optimise acquisition spend.
  • Create real-time fraud and anomaly detection systems.
  • Lead experimental design and analysis for robust insights.
  • Move from descriptive to diagnostic and predictive analytics.

Conocimientos

Data Science
Python
Advanced SQL
A/B testing
AdTech knowledge
Communication
Experimental design
Product curiosity

Herramientas

Scikit-learn
XGBoost
LightGBM
CatBoost
PyTorch

Descripción del empleo

Prime Insights, a Sweden-based technology company, is seeking a Data Scientist to build predictive models and recommendation systems to improve user engagement, LTV, and fraud detection in a high-scale product environment.

You will work within the Central Data Team to power an international community, leveraging Python and SQL to deliver advanced analytics, experimentation frameworks, and real-time systems.

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