Business Data Scientist, Connected TV, YouTube Marketing
New York, NY, USA; San Bruno, CA, USA
USD 138K-198K Mid-level Full Time
Tasks
- Analyze causal drivers of brand love
- Apply causal inference
- Design experiments
- Develop user segmentation frameworks
- Implement win back strategies
- Measure and optimize marketing budget
- Measure brand perception
- Tailor marketing offers
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn Prediction | Classification | Customer Lifetime Value | Experiment design | Experimental Methods | Lifetime Value | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Python | Quasi Experimental | Quasi-experimental methods | R | Regression | SQL | Statistical Analysis | User Segmentation
Education
Roles
Regions
Countries
States
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