Principal Decision Scientist - Marketing
Tasks
- Architect and govern marketing data layer with dbt and data quality
- Build statistical models for LTV churn and segmentation
- Collaborate on marketing data stack roadmap and tracking standards
- Define cross functional analytics initiatives
- Develop marketing mix modelling capability
- Guide AI tools and techniques for analytics workflow
- Lead experimentation framework design and execution
- Partner with finance to align marketing efficiency metrics
- Translate complex findings into executive recommendations
Perks/Benefits
- Bonuses
- Coaching
- Compassionate leave
- Flexible hours
- Internal mobility
- Mentorship
- Paid leave
- Paternal Leave
- Well-being days
- Wellness perks
Skills/Tech-stack
Audience Segmentation | CAC | Causal Inference | Churn Prediction | Customer Lifetime Value | DBT | Data Modeling | Data Quality | Geo-experiments | Holdout testing | Incrementality testing | LTV | Lifetime Value | Machine Learning | Marketing Analytics | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Payback period | Predictive Modeling | Python | R | SQL | Synthetic control | Unit economics
Education
N/A
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