Staff Applied Scientist, AdTech
United States (remote)
R
USD 120K-150K (estimate) Senior-level Full Time
Tasks
- Build and validate machine learning models for ROAS performance
- Collaborate with stakeholders to frame business problems and metrics
- Deploy models and monitor live performance
- Document validated model outputs
- Drive lead quality improvements across messaging and funnels
- Identify and leverage new modeling opportunities
- Improve buying models for positive ROAS and quality
- Own end to end data science modeling for a priority vertical
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ad Ranking | Collaborative Filtering | Content-Based Recommendation | Content-based | Funnel Optimization | Google Ads | Hybrid recommendation | LTV modeling | Looker | Machine Learning | Meta Ads | Monetization Optimization | Multi-Armed Bandit | Python | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL
Education
N/A
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