Marketing Data Scientist
Tasks
- Build and maintain marketing mix models
- Design run and analyze incrementality tests
- Develop bidding algorithms for Google Ads campaigns
- Improve multi touch attribution framework
- Monitor campaign performance and iterate bidding logic
- Optimize budget allocation across channels and markets
- Productionize analyses into reusable tools and reports
- Provide data-driven marketing recommendations
- Run A B tests to assess marketing impact
Perks/Benefits
- Enhanced annual leave
- Growth and development support
- Hybrid work
- Paid family leave
- Paid volunteering days
- Wellbeing days
- Working from abroad policy
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | Attribution Modeling | B testing | Bayesian Structural Time Series | BigQuery | Causal Inference | CausalImpact | DBT | Difference-in-differences | ELT | ETL | Geolift Testing | Git | Holdout Experiments | Looker | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Multi-Touch Attribution | Multi-touch) | Power BI | Predictive Modeling | Pymc | Python | R | SQL | Snowflake | Statistical Analysis | Streamlit | Structural Time Series | Synthetic control | Tableau | Time Series
Education
N/A
Roles
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