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 721K-990K (estimate) Senior-level Full Time
Tasks
- Analyze live ROAS performance
- Build and validate machine learning models
- Deliver buying models for positive ROAS
- Deploy and monitor deployed models
- Frame business problem with stakeholders
- Identify net new modeling opportunities
- Improve lead quality across brands
- Own end to end data science engine
- Partner with ML engineering for implementation
- Produce validated documented low correction output
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Collaborative Filtering | Content-Based Filtering | Content-based | Funnel Optimization | Hybrid recommendation | Lifetime Value | Lifetime value modeling | Machine Learning | Monetization Optimization | Multi-Armed Bandit | Python | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL | Value modeling
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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