Senior Marketing Decision Scientist II
Tasks
- Apply causal inference for incrementality
- Automate data pipelines with data engineering
- Build predictive models for LTV churn propensity and budget allocation
- Create executive dashboards and KPI narratives
- Design, launch, analyze experiments
- Forecast and perform scenario planning
- Manage concurrent analytical projects and mentorship
- Operate Marketing Mix Models
- Own marketing measurement strategy
- Translate insights into prioritized recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | Amazon Redshift | B testing | Bayesian Modeling | BigQuery | Budget allocation | Causal Inference | Churn modeling | Customer Lifetime Value | DBT | Data Warehousing | Feature Flagging | Geo-experiments | Git | Holdout testing | Incrementality testing | LTV forecasting | Lifetime Value | Looker | Marketing Analytics | Marketing Mix | Marketing Mix Modeling | Marketing attribution | Mix Modeling | Mode | Optimizely | Predictive Modeling | Privacy-preserving | Privacy-preserving measurement | Propensity Modeling | Pymc | Python | R | SKAN | SQL | Snowflake | Stan | Tableau | Uplift Modeling
Education
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