Data Scientist - MMM

JOB DESCRIPTION

Role Expectations:

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 clear, 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 storytellingQualifications:
• 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