Senior AI Data Expert

This Staff/Senior Machine Learning Scientist role is responsible for designing, implementing, and productionizing ML models to improve bidding, pricing, and personalized content recommendation for Appier's Ad Cloud. The role involves analyzing large-scale user and auction data, collaborating cross-functionally, and improving system performance through offline and online experimentation. Requires 4+ years of ad tech experience with a focus on performance optimization and applied ML in CTR prediction or recommendation systems.

This Senior Applied Scientist role focuses on applying reinforcement learning and decision-making methods to improve Viant's real-time advertising systems, including targeting, bidding, and personalization. The scientist will develop and evaluate RL, contextual bandit, and prediction models, design experiments, and partner with engineers to deploy and monitor models in production. Requires 3-5 years of ML experience, strong foundations in deep learning and statistics, and practical experience with Python and frameworks like PyTorch or TensorFlow.

The Senior Data Scientist will lead data science initiatives, developing models and algorithms to solve complex business problems. This role requires expertise in machine learning and statistical analysis.

This senior role designs and implements machine learning models for customer engagement and predictive analytics. The engineer will work on feature engineering, model training, and deployment to production systems.

Provide customer support in Korean and English, resolving issues and ensuring client satisfaction. The role involves handling inquiries and troubleshooting problems for clients remotely from Metro Manila.

Analysieren Sie komplexe Datensätze, um umsetzbare Erkenntnisse für Geschäfts- und Produktteams zu liefern. Erstellen Sie Dashboards und Berichte zur Überwachung wichtiger Leistungskennzahlen, um datengetriebene Entscheidungen und Optimierungen zu ermöglichen.

Diese Rolle verwaltet Monetarisierungsstrategien für Rewarded-Ad-Produkte, optimiert Anzeigenplatzierungen und Einnahmen bei gleichzeitiger Wahrung der Nutzererfahrung. Der Manager arbeitet an der Anzeigeninventar- und Yield-Optimierung, um den Umsatz zu maximieren.