Lead Applied Scientist, Marketing
Belo Horizonte, Brazil (remote); Brasilia, Brazil (remote); Curitiba, Brazil (remote); Fortaleza, Brazil (remote); Manaus, Brazil (remote); Porto Alegre, Brazil (remote); Recife, Brazil (remote); Rio de Jaineiro, Brazil (remote); Salvador, Brazil (remote); Sao Paulo, Brazil (remote)
R
BRL 304K-380K (estimate) Senior-level Full Time
Tasks
- Analyze ROAS and revenue impact
- Build and validate machine learning models
- Deploy models for live performance
- Develop buying models and optimize lead quality
- Document and validate trusted model outputs
- Frame business problem with stakeholders
- Identify new modeling opportunities
- Improve funnel and monetization modeling
- Monitor model performance
- Own data science end to end
Perks/Benefits
Skills/Tech-stack
Ad Ranking | Amazon Web Services | Collaborative Filtering | Content-Based Filtering | Content-based | Deep learning | Embeddings | Funnel Optimization | Hybrid recommendation | LLM | Lifetime Value | Lifetime value modeling | Looker | Machine Learning | Monetization Modeling | Multi-Armed Bandit | Python | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL | Value modeling | Web Services
Education
N/A
Regions
Countries
States
Pernambuco, BR | Ceará, BR | São Paulo, BR | Rio Grande do Sul, BR | Paraná, BR | Minas Gerais, BR | Federal District, BR | Bahia, BR | Amazonas, BR
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