Lead Applied Scientist, Marketing
Valparaíso, Chile (remote)
R
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Analyze ROAS impact and media efficiency
- Build validate deploy machine learning models
- Develop buying models with positive ROAS
- Frame business problem with ROAS metric
- Improve lead quality across funnels and content
- Monitor deployed model performance
- Optimize funnel monetization and LTV models
- Own data science engine end to end
- Partner with vertical business stakeholders
Perks/Benefits
Skills/Tech-stack
AWS | Collaborative Filtering | Content-Based Recommendations | Content-based | Funnel Optimization | Hybrid recommendation | LTV modeling | Machine Learning | Monetization Optimization | Multi-Armed Bandit | Python | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL
Education
N/A
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