Senior Marketing Decision Scientist II
Tasks
- Build predictive models for LTV churn propensity
- Collaborate with data engineers on data quality and pipelines
- Create analytics roadmaps and executive recommendations
- Create executive dashboards and KPI reporting
- Design launch analyze marketing experiments
- Forecast scenario plan for marketing investment
- Mentor peers through peer reviews documentation and best practices
- Own marketing measurement strategy across channels
- Perform causal inference for incrementality
- Unify MMM MTA and incrementality testing
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | Amazon Redshift | Audience targeting | B testing | Bayesian Modeling | BigQuery | CRM Analytics | Causal Inference | Churn modeling | DBT | Feature Flagging | Geo-experiments | Git | Holdout Experiments | Incrementality testing | LTV forecasting | Looker | Marketing Mix | Marketing Mix Modeling | Marketing attribution | Mix Modeling | Mode | Optimizely | Privacy-preserving | Privacy-preserving measurement | Propensity Modeling | Pymc | Python | R | SKAN | SQL | Snowflake | Stan | Tableau | Uplift Modeling
Education
Roles
Analyst | Data Scientist | Marketing Analyst | Marketing Data Scientist | Scientist
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