Principal Decision Scientist - Marketing
Tasks
- Architect marketing data layer with dbt
- Build statistical models for marketing decisions
- Collaborate on marketing data stack roadmap
- Define cross functional analytics initiatives
- Develop marketing mix modelling
- Guide AI tools to augment analytics workflow
- Lead experimentation frameworks
- Partner with finance for marketing efficiency metrics
- Translate insights into executive recommendations
Perks/Benefits
- Coaching
- Compassionate leave
- Flexible hours
- Internal mobility
- Mentorship
- Paternal Leave
- Well-being days
- Wellness perks
Skills/Tech-stack
AI analytics | Audience Segmentation | CAC | CRM | Causal Inference | Churn Scoring | Customer Acquisition | DBT | Data Documentation | Data Modeling | Data Quality | Engine optimization | Experiment design | Holdout testing | Incrementality testing | LTV | LTV modeling | Lifecycle Marketing | Marketing Mix | Marketing Mix Modeling | Marketing attribution | Mix Modeling | Paid Search | Paid Social | Payback period | Predictive Modeling | Python | R | SQL | Search Engine | Search engine optimization | Synthetic control | Unit economics
Education
N/A
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