Data Scientist – MarTech (Measurement & Optimization)
Tasks
- Apply causal inference and experimentation methods
- Communicate insights to technical and non-technical stakeholders
- Define success metrics and modeling approaches
- Develop production grade data science systems
- Own models and features end to end
- Perform validation with cross method validation and backtesting
- Translate marketing questions into model driven analyses
Perks/Benefits
- Enhanced parental leave
- Extra time off
- Gym membership discount
- Monthly credits
- Office Based Nursery
- Online therapy and wellbeing benefits
- Work From Anywhere Up To Three Weeks Per Year
- Work From Home Two Days Per Week
Skills/Tech-stack
Attribution Modeling | Backtesting | Bidding | BigQuery | Budget allocation | Causal Inference | Causal modeling | Cross-validation | Documentation | Experimentation | Incrementality testing | LTV modeling | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Monitoring | Predictive Modeling | Python | Quasi-Experiments | Reproducibility | SQL | Sensitivity Analysis | Survival analysis | Synthetic control | Testing | Time Series | Uplift Modeling | Version control
Education
N/A
Roles
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