AI-помощник: сопроводительное письмо, адаптация резюме, тренировка собеседованияПерейти ↓
Описание вакансии
Обязанности
•Build and validate machine learning models
•Collaborate with ML engineering for deployment
•Deploy models for live ROAS performance
•Document and ensure trusted model outputs
•Frame business problem and success metric
•Identify new modeling opportunities
•Improve buying models to maintain positive ROAS
•Monitor model performance and analyze results
•Optimize lead quality across marketing assets
•Own end-to-end data science pipeline
Технологии: Ad Ranking, Amazon Web Services, Collaborative Filtering, Content-Based Filtering, Content-based, Embeddings, Funnel Optimization, Hybrid recommendation, LTV modeling, Language Models, Large Language Models, Looker, Machine Learning, Monetization Optimization, Multi-Armed Bandit, Python, Ranking Systems, Recommendation Systems, Reinforcement Learning, SQL, Web Services