Lead Applied Scientist, Marketing
Ciudad de Mexico, Mexico (remote); Guadalajara, Mexico (remote); Leon, Mexico (remote); Mexico City, Mexico (remote); Monterrey, Mexico (remote); Playa del Carmen, Mexico (remote); Puebla, Mexico (remote); Toluca, Mexico (remote)
R
MXN 721K-1080K (estimate) Senior-level Full Time
Tasks
- Analyze live ROAS performance
- Build and validate machine learning models
- Deploy models and monitor performance
- Develop buying models for ad optimization
- Document and validate trusted model outputs
- Frame business problem with stakeholders
- Identify and leverage new modeling opportunities
- Improve lead quality across marketing portfolio
- Own data science engine end to end
Perks/Benefits
Skills/Tech-stack
Ad Ranking | Amazon Web Services | Collaborative Filtering | Data Modeling | Embeddings | Funnel Optimization | Hybrid recommendation | Language Models | Large Language Models | Lifetime Value | Lifetime value modeling | Looker | Machine Learning | Monetization Optimization | Multi-Armed Bandit | Python | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL | Value modeling | Web Services
Education
N/A
Regions
Countries
States
Quintana Roo, MX | Puebla, MX | Nuevo León, MX | México, MX | Mexico City, MX | Jalisco, MX
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