Senior Data Scientist – MarTech (Measurement & Optimization)
Tasks
- Balance methodological rigor with business constraints
- Collaborate with engineering and product to deploy scale and improve systems
- Communicate modeling outputs to non technical stakeholders
- Convert marketing questions into model driven decision systems
- Define success metrics and modeling approaches
- Design and evolve MMM incrementality testing synthetic control bidding and LTV frameworks
- Develop production grade systems with testing monitoring documentation and reproducibility
- Ensure actionable outputs aligned with budget caps pacing and channel dependencies
- Establish validation strategies with cross method validation backtesting and sensitivity analysis
- Lead problem framing from ambiguity to production
- Make and justify assumptions and assess impact
- Navigate attribution incrementality and MMM conflicts
- Own end to end marketing measurement and optimization solutions
- Provide recommendations under uncertainty with trade offs and confidence levels
- Set standards for statistical rigor interpretability and reproducibility
- Triangulate between MMM experiments and observational methods
Perks/Benefits
- Discounted gym memberships
- Enhanced parental leave
- Extra time off
- Monthly glovo credits
- Office Based Nursery
- Online therapy and wellbeing benefits
- Work from anywhere up to 3 weeks per year
- Work from home 2 days per week
Skills/Tech-stack
Attribution Modeling | Backtesting | Bidding Optimization | BigQuery | Budget allocation | CI/CD | Causal Inference | Causal modeling | Cross-validation | Documentation | Experimentation | Incrementality Measurement | LLM | LTV modeling | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Monitoring | Predictive Modeling | Python | Quasi-Experiments | Reproducibility | SQL | Sensitivity Analysis | Statistical modeling | Survival analysis | Synthetic control | Testing | Time Series | Uplift Modeling | Version control
Education
N/A
Roles
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