Senior Data Scientist (Marketing Mix)
Tasks
- Build scenario planning for spend optimization
- Develop marketing mix models
- Evaluate model assumptions uncertainty and plausibility
- Explain drivers using SHAP diagnostics and sensitivity analysis
- Measure incremental marketing impact
- Operationalise reproducible analytical workflows
- Partner with business teams to define KPIs and success criteria
- Support colleagues with reusable methodologies
- Translate results into channel recommendations
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Causal Inference | Databricks | Econometrics | Experiment design | Feature Engineering | Forecasting | GCP | Git | Hypothesis Testing | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Model Validation | NumPy | Optimization | Pandas | Python | R | Regression Analysis | SHAP | SQL | Scenario Planning | SciPy | Scikit-learn | Series analysis | Snowflake | Statistical inference | StatsModels | Time Series | Time Series Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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