Lead Applied Scientist, Marketing
Chicago, IL (remote); Columbus, OH (remote); Detroit, MI (remote); Kansas City, KS (remote); Madison, WI (remote); Saint Louis, MO (remote)
R
USD 175K-200K Senior-level Full Time
Tasks
- Analyze ROAS and revenue impact
- Build and validate machine learning models
- Collaborate with ML engineering for deployment
- Deploy and monitor live model performance
- Develop buying models for positive ROAS and quality
- Document models and produce validated outputs
- Identify new modeling opportunities
- Improve lead quality across marketing funnels and content
- Own end to end data science modeling
Perks/Benefits
Skills/Tech-stack
AWS | Adtech | Collaborative Filtering | Embedding Models | Funnel Optimization | Hybrid recommendation | LTV modeling | Lifetime Value | Lifetime value modeling | Looker | Machine Learning | Monetization Optimization | Multi-Armed Bandit | Python | ROAS) | Ranking Systems | Recommendation Systems | Reinforcement Learning | SQL | Value modeling
Education
N/A
Roles
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