Responsibilities : - Build, calibrate, and refine Market Mix Models to measure the impact of marketing spend across channels (media, promotions, pricing, distribution).- Translate MMM outputs into explicit, client-facing insights - attribution, ROI by channel, budget optimization scenarios.- Work closely with client business teams to understand marketing objectives and align model outputs to decision-making needs.- Validate model assumptions, run simulations, and present scenario analyses (what-if, budget reallocation).- Clean, transform, and QA large marketing and sales datasets for modelling readiness.- Collaborate with internal analytics and consulting teams on deliverable packaging and storytelling.Qualifications : - Market Mix Modelling (MMM) :



Hands-on model building experience - not just awareness.- Exposure to Bayesian MMM or Robyn is a plus.- Python : Proficient - data manipulation, modelling pipelines, visualization (pandas, statsmodels, matplotlib/seaborn).- SQL : Comfortable pulling and transforming data independently.- ML fundamentals : Regression, time-series, feature engineering - applied, not theoretical.- Client/consulting exposure : Ability to explain model outputs to non-technical stakeholders; slide-ready communication. (ref:hirist.tech)

📌 Data Scientist (Python, ML, SQL) (Bengaluru)
🏢 VAYUZ Technologies
📍 Bengaluru