Job DescriptionBlend is seeking Senior Data Scientists to join our Marketing Mix Optimization (MMO) Enhancements team, building next-generation Bayesian Marketing Mix Models that help global clients optimize media investments and maximize business outcomes. This role is ideal for professionals who have deep expertise in Bayesian statistics, causal inference, optimization, and advanced econometric modeling.
nAs a Senior Data Scientist, you will develop production-grade Bayesian models, design optimization frameworks, evaluate marketing effectiveness, and translate complex statistical methodologies into actionable business recommendations. You will work closely with data scientists, engineers, and business stakeholders to build scalable, interpretable, and production-ready solutions.
nWhat You'll D
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- oDesign and build Bayesian Marketing Mix Models (MMM) from the ground up using PyMC or Stann
- .Develop hierarchical Bayesian models capable of handling sparse and multi-level marketing datan




- .Implement chained and multi-stage modeling architectures with proper uncertainty propagation using Monte Carlo simulationsn
- .Build constrained optimization models for media budget allocation considering channel constraints, business rules, and ROI objectivesn
- .Develop multi-objective optimization frameworks balancing multiple marketing and business KPIsn
- .Design and analyze geo experiments, causal impact studies, Difference-in-Differences (DiD), Synthetic Control models, and regression discontinuity analysesn
- .Develop advanced adstock and saturation transformations including geometric, Weibull, and Hill functionsn
- .Perform Bayesian model diagnostics using ArviZ including convergence analysis, posterior validation, R-hat, ESS, and divergence analysisn
- .Build reproducible, production-quality Python code following software engineering best practicesn
- .Work extensively with large-scale datasets using SQL, Python, and statistical modeling techniquesn
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📌 Senior Data Scientist (Hyderabad)
🏢 Blend
📍 Hyderabad