Staff Applied Scientist, AdTech
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 934K-1200K (estimate) Senior-level Full Time
Tasks
- Analyze performance and optimize ROAS
- Build ad buying models for ROAS and quality
- Build validate and deploy machine learning models
- Frame business problem with stakeholders
- Identify and leverage new modeling opportunities
- Improve lead quality across messaging funnels and content
- Model funnel monetization and LTV
- Monitor deployed model performance
- Own data science engine end to end
Perks/Benefits
Skills/Tech-stack
AWS | Collaborative Filtering | Content-Based Recommendation | Content-based | Funnel Optimization | Hybrid recommendation | LTV modeling | Machine Learning | Monetization Optimization | Multi-Armed Bandit | Python | ROAS) | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL
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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