Data Scientist - Predictive Personalization for AdTech-Gaming

Prime Insights; Vitoria; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Prime Insights seeks a Data Scientist to build predictive models, recommendation systems, and experimentation frameworks to improve user engagement, LTV, and fraud detection in a high-scale product environment.

You will work within our Central Data Team, applying advanced ML techniques in AdTech and Gaming contexts, including A/B testing in high-traffic settings and collaboration with product teams to drive measurable impact.

Formación

• 3+ years of experience in Data Science, ideally within AdTech, Gaming, or FinTech.
• Proficiency in Python (Scikit-learn, PyTorch) and Advanced SQL.
• Familiarity with CPM, ROAS, Attribution, and Post-back loops.
• Strong communication skills to explain findings to both technical and non-technical audiences.
• Experience with experimental design in high-traffic environments (A/B testing).
• Interest in understanding user psychology behind clicks.

Responsabilidades

• 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.

Conocimientos

Python

Advanced SQL

AdTech knowledge

A/B testing

Modeling & ML

Communication

Product curiosity

Descripción del empleo

Prime Insights seeks a Data Scientist to build predictive models, recommendation systems, and experimentation frameworks to improve user engagement, LTV, and fraud detection in a high-scale product environment.

You will work within our Central Data Team, applying advanced ML techniques in AdTech and Gaming contexts, including A/B testing in high-traffic settings and collaboration with product teams to drive measurable impact.