Senior / Lead Data Scientist – Media Targeting and Media Mix Optimization
INR 3000K-4500K (estimate) Senior-level Full Time
Tasks
- Automate narrative generation and reporting
- Build adstock and saturation response transformations
- Build constrained optimization models for budget allocation
- Build customer segmentation models
- Calculate competitive marketing metrics
- Design causal attribution studies
- Design marketing media targeting models
- Develop Bayesian marketing mix models
- Disaggregate budgets into monthly channel plans
- Document methodology for reproducibility
- Engineer RFM and transaction features
- Explain model outputs with SHAP
- Integrate LLM tools into analytics workflows
- Translate analytics into stakeholder recommendations
- Validate clusters for statistical robustness
Perks/Benefits
- N/A
Skills/Tech-stack
Adstock | ArviZ | Bayesian Modeling | Bayesian Models | Causal Inference | Clustering | Constrained optimization | Convex Optimization | Customer Segmentation | Cvxpy | DBSCAN | Denton-Cholette | Difference-in-difference | Difference-in-differences | Gaussian Mixture Models | Geo-experiments | Geometric transformation | Hierarchical Bayesian | Hierarchical Bayesian models | Hill Function | K-Means | LLM integration | Linear Programming | MCMC | Machine Learning | Marketing Analytics | Marketing Mix | Marketing Mix Optimization | Mix optimization | Mixture models | Multi-Objective Optimization | NumPy | Objective optimization | Optimization | Pandas | Pareto Frontier | Prompt engineering | Pymc | Python | Regression Analysis | Retrieval-Augmented Generation | SHAP | SQL | Saturation Transformations | SciPy | Scikit-learn | Stan | Statistical modeling | Synthetic control | Temporal Disaggregation | Weibull distribution
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist | Senior Data Scientist
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